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Detalles de la revista
Formato
Revista
eISSN
2450-5781
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

Volumen 25 (2017): Edición 3 (September 2017)

Detalles de la revista
Formato
Revista
eISSN
2450-5781
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

11 Artículos

Special Issue Title: Maintenance Performance Measurement and Management Challenges: from Sensing to Decision Support

Acceso abierto

Business Performance Measurements in Asset Management with the Support of Big Data Technologies

Publicado en línea: 01 Aug 2017
Páginas: 143 - 149

Resumen

Abstract

The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

Palabras clave

  • business performance measurements
  • asset management
  • big data technologies
Acceso abierto

An Ecosystem Perspective On Asset Management Information

Publicado en línea: 01 Aug 2017
Páginas: 150 - 157

Resumen

Abstract

Big Data and Internet of Things will increase the amount of data on asset management exceedingly. Data sharing with an increased number of partners in the area of asset management is important when developing business opportunities and new ecosystems. An asset management ecosystem is a complex set of relationships between parties taking part in asset management actions. In this paper, the current barriers and benefits of data sharing are identified based on the results of an interview study. The main benefits are transparency, access to data and reuse of data. New services can be created by taking advantage of data sharing. The main barriers to sharing data are an unclear view of the data sharing process and difficulties to recognize the benefits of data sharing. For overcoming the barriers in data sharing, this paper applies the ecosystem perspective on asset management information. The approach is explained by using the Swedish railway industry as an example.

Palabras clave

  • open data
  • data sharing
  • information management
  • information model
  • business ecosystem
  • asset as a service
Acceso abierto

Stability Analysis of Radial Turning Process for Superalloys

Publicado en línea: 01 Aug 2017
Páginas: 158 - 162

Resumen

Abstract

Stability detection in machining processes is an essential component for the design of efficient machining processes. Automatic methods are able to determine when instability is happening and prevent possible machine failures. In this work a variety of methods are proposed for detecting stability anomalies based on the measured forces in the radial turning process of superalloys. Two different methods are proposed to determine instabilities. Each one is tested on real data obtained in the machining of Waspalloy, Haynes 282 and Inconel 718. Experimental data, in both Conventional and High Pressure Coolant (HPC) environments, are set in four different states depending on materials grain size and Hardness (LGA, LGS, SGA and SGS). Results reveal that PCA method is useful for visualization of the process and detection of anomalies in online processes.

Palabras clave

  • stability detection
  • radial turning
  • PCA
Acceso abierto

A Framework for Creating Value from Fleet Data at Ecosystem Level

Publicado en línea: 01 Aug 2017
Páginas: 163 - 167

Resumen

Abstract

As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to upgrade data into value for business has been recognized as an advantage. Companies gain competitive advantage if they are able to benefit from the fleet data that is produced both in and outside the boundaries of the company. Benefits of fleet management are based on the possibility to have access to the massive amounts of asset data that can then be utilized e.g. to gain cost savings and to develop products and services. The ambition of the companies is to create value from fleet data but this requires that different actors in ecosystem are working together for a common goal - to get the most value out of fleet data for the ecosystem. In order that this could be possible, we need a framework to meet the requirements of the fleet life-cycle data utilization. This means that the different actors in the ecosystem need to understand their role in the fleet data refining process in order to promote the value creation from fleet data. The objective of this paper is to develop a framework for knowledge management in order to create value from fleet data in ecosystems. As a result, we present a conceptual framework which helps companies to develop their asset management practices related to the fleet of assets.

Palabras clave

  • fleet data
  • ecosystem
  • framework
  • value
  • data refining
  • asset management
Acceso abierto

Intelligent Performance Analysis with a Natural Language Interface

Publicado en línea: 01 Aug 2017
Páginas: 168 - 175

Resumen

Abstract

Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

Palabras clave

  • data analysis
  • nonlinear scaling
  • trend analysis
  • fuzzy systems
  • natural language
Acceso abierto

Local Regularity Analysis with Wavelet Transform in Gear Tooth Failure Detection

Publicado en línea: 01 Aug 2017
Páginas: 176 - 182

Resumen

Abstract

Diagnosing gear tooth and bearing failures in industrial power transition situations has been studied a lot but challenges still remain. This study aims to look at the problem from a more theoretical perspective. Our goal is to find out if the local regularity i.e. smoothness of the measured signal can be estimated from the vibrations of epicyclic gearboxes and if the regularity can be linked to the meshing events of the gear teeth. Previously it has been shown that the decreasing local regularity of the measured acceleration signals can reveal the inner race faults in slowly rotating bearings. The local regularity is estimated from the modulus maxima ridges of the signal’s wavelet transform. In this study, the measurements come from the epicyclic gearboxes of the Kelukoski water power station (WPS). The very stable rotational speed of the WPS makes it possible to deduce that the gear mesh frequencies of the WPS and a frequency related to the rotation of the turbine blades are the most significant components in the spectra of the estimated local regularity signals.

Palabras clave

  • epicyclic gearbox
  • spectral analysis
  • Hölder regularity
  • wavelet modulus maxima
  • water power station
Acceso abierto

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Publicado en línea: 01 Aug 2017
Páginas: 183 - 190

Resumen

Abstract

All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine’s future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

Palabras clave

  • fingerprint
  • operational data
  • condition based maintenance (CBM)
  • condition monitoring (CM)
  • energy optimization
  • machine tool
Acceso abierto

Bottom to Top Approach for Railway KPI Generation

Publicado en línea: 01 Aug 2017
Páginas: 191 - 198

Resumen

Abstract

Railway maintenance especially on infrastructure produces a vast amount of data. However, having data is not synonymous with having information; rather, data must be processed to extract information. In railway maintenance, the development of key performance indicators (KPIs) linked to punctuality or capacity can help planned and scheduled maintenance, thus aligning the maintenance department with corporate objectives. There is a need for an improved method to analyse railway data to find the relevant KPIs. The system should support maintainers, answering such questions as what maintenance should be done, where and when. The system should equip the user with the knowledge of the infrastructure’s condition and configuration, and the traffic situation so maintenance resources can be targeted to only those areas needing work. The amount of information is vast, so it must be hierarchized and aggregated; users must filter out the useless indicators. Data are fused by compiling several individual indicators into a single index; the resulting composite indicators measure multidimensional concepts which cannot be captured by a single index. The paper describes a method of monitoring a complex entity. In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values. The resulting composite and aggregated indicators can be a decision-making tool for asset managers at different hierarchical levels.

Palabras clave

  • railway assets
  • fusion
  • hierarchy
  • aggregation
  • KPI
  • performance
  • condition monitoring
  • CMMS
Acceso abierto

Tapping the Value Potential of Extended Asset Services – Experiences from Finnish Companies

Publicado en línea: 01 Aug 2017
Páginas: 199 - 204

Resumen

Abstract

Recent developments in information technology and business models enable a wide variety of new services for companies looking for growth in services. Currently, manufacturing companies have been actively developing and providing novel asset based services such as condition monitoring and remote control. However, there is still untapped potential in extending the service delivery to the long-term co-operative development of physical assets over the whole lifecycle. Close collaboration with the end-customer and other stakeholders is needed in order to understand the value generation options. In this paper, we assess some of the asset services manufacturing companies are currently developing. The descriptions of the asset services are based on the results of an industrial workshop in which the companies presented their service development plans. The service propositions are compared with the Total Cost of Ownership and the closed loop life cycle frameworks. Based on the comparison, gaps that indicate potential for extended asset service concepts are recognised. In conclusion, we argue that the manufacturing companies do not recognise the whole potential for asset based services and for optimizing the performance of the end customers′ processes.

Palabras clave

  • asset
  • fleet
  • extended asset services
Acceso abierto

Electric Motors Maintenance Planning From Its Operating Variables

Publicado en línea: 01 Aug 2017
Páginas: 205 - 216

Resumen

Abstract

The maintenance planning corresponds to an approach that seeks to maximize the availability of equipment and, consequently, increase the levels of competitiveness of companies by increasing production times. This paper presents a maintenance planning based on operating variables (number of hours worked, duty cycles, number of revolutions) to maximizing the availability of operation of electrical motors. The reading of the operating variables and its sampling is done based on predetermined sampling cycles and subsequently is made the data analysis through time series algorithms aiming to launch work orders before reaching the variables limit values. This approach is supported by tools and technologies such as logical applications that enable a graphical user interface for access to relevant information about their Physical Asset HMI (Human Machine Interface), including the control and supervision by acquisition through SCADA (Supervisory Control And data acquisition) data, also including the communication protocols among different logical applications.

Palabras clave

  • maintenance
  • planned maintenance
  • electric machines
  • HMI/SCADA
Acceso abierto

Ergonomics Contribution in Maintainability

Publicado en línea: 01 Aug 2017
Páginas: 217 - 223

Resumen

Abstract

The objective of this paper is to describe an ergonomics contribution in maintainability. The economical designs, inputs and training helps to increase the maintainability indicators for industrial devices. This analysis can be helpful, among other cases, to compare systems, to achieve a better design regarding maintainability requirements, to improve this maintainability under specific industrial environment and to foresee maintainability problems due to eventual changes in a device operation conditions. With this purpose, this work first introduces the notion of ergonomics and human factors, maintainability and the implementation of assessment of human postures, including some important postures to perform maintenance activities. A simulation approach is used to identify the critical posture of the maintenance personnel and implements the defined postures with minimal loads on the personnel who use the equipment in a practical scenario. The simulation inputs are given to the designers to improve the workplace/equipment in order to high level of maintainability. Finally, the work concludes summarizing the more significant aspects and suggesting future research.

Palabras clave

  • ergonomics
  • maintainability
  • human posture
  • human factors
  • ALBA simulation
11 Artículos

Special Issue Title: Maintenance Performance Measurement and Management Challenges: from Sensing to Decision Support

Acceso abierto

Business Performance Measurements in Asset Management with the Support of Big Data Technologies

Publicado en línea: 01 Aug 2017
Páginas: 143 - 149

Resumen

Abstract

The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.

Palabras clave

  • business performance measurements
  • asset management
  • big data technologies
Acceso abierto

An Ecosystem Perspective On Asset Management Information

Publicado en línea: 01 Aug 2017
Páginas: 150 - 157

Resumen

Abstract

Big Data and Internet of Things will increase the amount of data on asset management exceedingly. Data sharing with an increased number of partners in the area of asset management is important when developing business opportunities and new ecosystems. An asset management ecosystem is a complex set of relationships between parties taking part in asset management actions. In this paper, the current barriers and benefits of data sharing are identified based on the results of an interview study. The main benefits are transparency, access to data and reuse of data. New services can be created by taking advantage of data sharing. The main barriers to sharing data are an unclear view of the data sharing process and difficulties to recognize the benefits of data sharing. For overcoming the barriers in data sharing, this paper applies the ecosystem perspective on asset management information. The approach is explained by using the Swedish railway industry as an example.

Palabras clave

  • open data
  • data sharing
  • information management
  • information model
  • business ecosystem
  • asset as a service
Acceso abierto

Stability Analysis of Radial Turning Process for Superalloys

Publicado en línea: 01 Aug 2017
Páginas: 158 - 162

Resumen

Abstract

Stability detection in machining processes is an essential component for the design of efficient machining processes. Automatic methods are able to determine when instability is happening and prevent possible machine failures. In this work a variety of methods are proposed for detecting stability anomalies based on the measured forces in the radial turning process of superalloys. Two different methods are proposed to determine instabilities. Each one is tested on real data obtained in the machining of Waspalloy, Haynes 282 and Inconel 718. Experimental data, in both Conventional and High Pressure Coolant (HPC) environments, are set in four different states depending on materials grain size and Hardness (LGA, LGS, SGA and SGS). Results reveal that PCA method is useful for visualization of the process and detection of anomalies in online processes.

Palabras clave

  • stability detection
  • radial turning
  • PCA
Acceso abierto

A Framework for Creating Value from Fleet Data at Ecosystem Level

Publicado en línea: 01 Aug 2017
Páginas: 163 - 167

Resumen

Abstract

As companies have recently gotten more interested in utilizing the increasingly gathered data and realizing the potential of data analysis, the ability to upgrade data into value for business has been recognized as an advantage. Companies gain competitive advantage if they are able to benefit from the fleet data that is produced both in and outside the boundaries of the company. Benefits of fleet management are based on the possibility to have access to the massive amounts of asset data that can then be utilized e.g. to gain cost savings and to develop products and services. The ambition of the companies is to create value from fleet data but this requires that different actors in ecosystem are working together for a common goal - to get the most value out of fleet data for the ecosystem. In order that this could be possible, we need a framework to meet the requirements of the fleet life-cycle data utilization. This means that the different actors in the ecosystem need to understand their role in the fleet data refining process in order to promote the value creation from fleet data. The objective of this paper is to develop a framework for knowledge management in order to create value from fleet data in ecosystems. As a result, we present a conceptual framework which helps companies to develop their asset management practices related to the fleet of assets.

Palabras clave

  • fleet data
  • ecosystem
  • framework
  • value
  • data refining
  • asset management
Acceso abierto

Intelligent Performance Analysis with a Natural Language Interface

Publicado en línea: 01 Aug 2017
Páginas: 168 - 175

Resumen

Abstract

Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

Palabras clave

  • data analysis
  • nonlinear scaling
  • trend analysis
  • fuzzy systems
  • natural language
Acceso abierto

Local Regularity Analysis with Wavelet Transform in Gear Tooth Failure Detection

Publicado en línea: 01 Aug 2017
Páginas: 176 - 182

Resumen

Abstract

Diagnosing gear tooth and bearing failures in industrial power transition situations has been studied a lot but challenges still remain. This study aims to look at the problem from a more theoretical perspective. Our goal is to find out if the local regularity i.e. smoothness of the measured signal can be estimated from the vibrations of epicyclic gearboxes and if the regularity can be linked to the meshing events of the gear teeth. Previously it has been shown that the decreasing local regularity of the measured acceleration signals can reveal the inner race faults in slowly rotating bearings. The local regularity is estimated from the modulus maxima ridges of the signal’s wavelet transform. In this study, the measurements come from the epicyclic gearboxes of the Kelukoski water power station (WPS). The very stable rotational speed of the WPS makes it possible to deduce that the gear mesh frequencies of the WPS and a frequency related to the rotation of the turbine blades are the most significant components in the spectra of the estimated local regularity signals.

Palabras clave

  • epicyclic gearbox
  • spectral analysis
  • Hölder regularity
  • wavelet modulus maxima
  • water power station
Acceso abierto

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Publicado en línea: 01 Aug 2017
Páginas: 183 - 190

Resumen

Abstract

All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicators from the micro to macro level can be calculated for such aspects as maintenance, production, energy consumption etc. On the micro-level, the indicators are generally used for condition monitoring and diagnostics and are normally based on a short time window and a high sampling frequency. The macro indicators are normally based on a longer time window with a slower sampling frequency and are used as indicators for overall performance, cost or consumption. The indicators can be calculated directly from the current signal but can also be based on a combination of information from the current signal and operational data like rpm, position etc. One or several of those indicators can be used for prediction and prognostics of a machine’s future behavior. This paper uses this technique to calculate indicators for maintenance and energy optimization in electric powered machines and fleets of machines, especially machine tools.

Palabras clave

  • fingerprint
  • operational data
  • condition based maintenance (CBM)
  • condition monitoring (CM)
  • energy optimization
  • machine tool
Acceso abierto

Bottom to Top Approach for Railway KPI Generation

Publicado en línea: 01 Aug 2017
Páginas: 191 - 198

Resumen

Abstract

Railway maintenance especially on infrastructure produces a vast amount of data. However, having data is not synonymous with having information; rather, data must be processed to extract information. In railway maintenance, the development of key performance indicators (KPIs) linked to punctuality or capacity can help planned and scheduled maintenance, thus aligning the maintenance department with corporate objectives. There is a need for an improved method to analyse railway data to find the relevant KPIs. The system should support maintainers, answering such questions as what maintenance should be done, where and when. The system should equip the user with the knowledge of the infrastructure’s condition and configuration, and the traffic situation so maintenance resources can be targeted to only those areas needing work. The amount of information is vast, so it must be hierarchized and aggregated; users must filter out the useless indicators. Data are fused by compiling several individual indicators into a single index; the resulting composite indicators measure multidimensional concepts which cannot be captured by a single index. The paper describes a method of monitoring a complex entity. In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values. The resulting composite and aggregated indicators can be a decision-making tool for asset managers at different hierarchical levels.

Palabras clave

  • railway assets
  • fusion
  • hierarchy
  • aggregation
  • KPI
  • performance
  • condition monitoring
  • CMMS
Acceso abierto

Tapping the Value Potential of Extended Asset Services – Experiences from Finnish Companies

Publicado en línea: 01 Aug 2017
Páginas: 199 - 204

Resumen

Abstract

Recent developments in information technology and business models enable a wide variety of new services for companies looking for growth in services. Currently, manufacturing companies have been actively developing and providing novel asset based services such as condition monitoring and remote control. However, there is still untapped potential in extending the service delivery to the long-term co-operative development of physical assets over the whole lifecycle. Close collaboration with the end-customer and other stakeholders is needed in order to understand the value generation options. In this paper, we assess some of the asset services manufacturing companies are currently developing. The descriptions of the asset services are based on the results of an industrial workshop in which the companies presented their service development plans. The service propositions are compared with the Total Cost of Ownership and the closed loop life cycle frameworks. Based on the comparison, gaps that indicate potential for extended asset service concepts are recognised. In conclusion, we argue that the manufacturing companies do not recognise the whole potential for asset based services and for optimizing the performance of the end customers′ processes.

Palabras clave

  • asset
  • fleet
  • extended asset services
Acceso abierto

Electric Motors Maintenance Planning From Its Operating Variables

Publicado en línea: 01 Aug 2017
Páginas: 205 - 216

Resumen

Abstract

The maintenance planning corresponds to an approach that seeks to maximize the availability of equipment and, consequently, increase the levels of competitiveness of companies by increasing production times. This paper presents a maintenance planning based on operating variables (number of hours worked, duty cycles, number of revolutions) to maximizing the availability of operation of electrical motors. The reading of the operating variables and its sampling is done based on predetermined sampling cycles and subsequently is made the data analysis through time series algorithms aiming to launch work orders before reaching the variables limit values. This approach is supported by tools and technologies such as logical applications that enable a graphical user interface for access to relevant information about their Physical Asset HMI (Human Machine Interface), including the control and supervision by acquisition through SCADA (Supervisory Control And data acquisition) data, also including the communication protocols among different logical applications.

Palabras clave

  • maintenance
  • planned maintenance
  • electric machines
  • HMI/SCADA
Acceso abierto

Ergonomics Contribution in Maintainability

Publicado en línea: 01 Aug 2017
Páginas: 217 - 223

Resumen

Abstract

The objective of this paper is to describe an ergonomics contribution in maintainability. The economical designs, inputs and training helps to increase the maintainability indicators for industrial devices. This analysis can be helpful, among other cases, to compare systems, to achieve a better design regarding maintainability requirements, to improve this maintainability under specific industrial environment and to foresee maintainability problems due to eventual changes in a device operation conditions. With this purpose, this work first introduces the notion of ergonomics and human factors, maintainability and the implementation of assessment of human postures, including some important postures to perform maintenance activities. A simulation approach is used to identify the critical posture of the maintenance personnel and implements the defined postures with minimal loads on the personnel who use the equipment in a practical scenario. The simulation inputs are given to the designers to improve the workplace/equipment in order to high level of maintainability. Finally, the work concludes summarizing the more significant aspects and suggesting future research.

Palabras clave

  • ergonomics
  • maintainability
  • human posture
  • human factors
  • ALBA simulation

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