<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Due to the advanced equipment for diagnosing the components and technical systems of which they are part, the advanced software techniques and applications for the execution, monitoring and maintenance of management, methods, the tendency to develop the type of predictive maintenance is now being generalized. The importance is given by the possibility of processing the determined results, by estimating the tendency of manifestation of the functional parameters and by establishing the moment of the technical interventions for maintaining the equipment/vehicle in the state of availability. The predictive or conditional maintenance, along with the systematic and predictive maintenance, as ways of planning and executing preventive maintenance, has the advantage that the costs of purchasing diagnostic equipment can be offset by the reduced repair costs, as theoretically the major equipment failure will be greatly reduced. The authors do a study on the possibilities of monitoring and driving automotive predictive maintenance using the Keep the Machine the software application Keep the Machine Running. The research method is to investigate the current level of maintenance and the facilities offered by the specific diagnosis and software application, and to integrate the results in order to achieve an efficient maintenance management.</p></abstract>

Due to the advanced equipment for diagnosing the components and technical systems of which they are part, the advanced software techniques and applications for the execution, monitoring and maintenance of management, methods, the tendency to develop the type of predictive maintenance is now being generalized. The importance is given by the possibility of processing the determined results, by estimating the tendency of manifestation of the functional parameters and by establishing the moment of the technical interventions for maintaining the equipment/vehicle in the state of availability. The predictive or conditional maintenance, along with the systematic and predictive maintenance, as ways of planning and executing preventive maintenance, has the advantage that the costs of purchasing diagnostic equipment can be offset by the reduced repair costs, as theoretically the major equipment failure will be greatly reduced. The authors do a study on the possibilities of monitoring and driving automotive predictive maintenance using the Keep the Machine the software application Keep the Machine Running. The research method is to investigate the current level of maintenance and the facilities offered by the specific diagnosis and software application, and to integrate the results in order to achieve an efficient maintenance management.

Study on the Predictive Maintenance of Vehicles and its Management Using the Specific “Keep the Machine Running” Application

International conference KNOWLEDGE-BASED ORGANIZATION

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Due to the advanced equipment for diagnosing the components and technical systems of which they are part, the advanced software techniques and applications for...

Study on the Predictive Maintenance of Vehicles and its Management Using the Specific “Keep the Machine Running” Application

Publicado en línea: 23 jul 2019

Páginas: 291 - 297

DOI: https://doi.org/10.2478/kbo-2019-0048

Palabras clave
equipment, reliability, maintenance, management, KMR

© 2019 Ioan Virca et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Study on the Predictive Maintenance of Vehicles and its Management Using the Specific “Keep the Machine Running” Application

Publicado en línea: 23 jul 2019

Páginas: 291 - 297

DOI: https://doi.org/10.2478/kbo-2019-0048

Palabras claveequipment, reliability, maintenance, management, KMR

© 2019 Ioan Virca et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Palabras clave
equipment, reliability, maintenance, management, KMR