<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper presents a novel real-time crack identification method to determine the position and depth of a transverse open crack on a rotating shaft. A newly developed wireless sensor capable of being mounted directly on the shaft is employed to monitor acceleration at different points of the shaft in a rotating coordinate system. The vibration parameters obtained from the wireless sensors and Finite Element Model provide operational data to perform Modal Analysis with different mock crack positions and depths, and an unique relation between the vibration parameters and crack characteristics is developed by Neural Networks Method working as function approximator to predict the crack size and location on the shaft. The method was experimentally validated and results have shown that the crack detection sensitivity parameters depend on the acceleration signals at different points of the shaft.</p></abstract>

This paper presents a novel real-time crack identification method to determine the position and depth of a transverse open crack on a rotating shaft. A newly developed wireless sensor capable of being mounted directly on the shaft is employed to monitor acceleration at different points of the shaft in a rotating coordinate system. The vibration parameters obtained from the wireless sensors and Finite Element Model provide operational data to perform Modal Analysis with different mock crack positions and depths, and an unique relation between the vibration parameters and crack characteristics is developed by Neural Networks Method working as function approximator to predict the crack size and location on the shaft. The method was experimentally validated and results have shown that the crack detection sensitivity parameters depend on the acceleration signals at different points of the shaft.

Crack Identification of a Rotating Shaft with Integrated Wireless Sensor

International Journal on Smart Sensing and Intelligent Systems

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

{"article-title":"Crack Identification of a Rotating Shaft with Integrated Wireless Sensor"}

This paper presents a novel real-time crack identification method to determine the position and depth of a transverse open crack on a rotating shaft. A newly...

Crack Identification of a Rotating Shaft with Integrated Wireless Sensor

Online veröffentlicht: 03. Nov. 2017

Seitenbereich: 564 - 578

DOI: https://doi.org/10.21307/ijssis-2017-368

Schlüsselwörter
rack detection, wireless sensor, vibration modal analysis, finite element method, neural Networks, rotating shaft

© 2009 F. Andrés Bejarano et al., published by Sciendo

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

Crack Identification of a Rotating Shaft with Integrated Wireless Sensor

Online veröffentlicht: 03. Nov. 2017

Seitenbereich: 564 - 578

DOI: https://doi.org/10.21307/ijssis-2017-368

Schlüsselwörterrack detection, wireless sensor, vibration modal analysis, finite element method, neural Networks, rotating shaft

© 2009 F. Andrés Bejarano et al., published by Sciendo

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

Schlüsselwörter
rack detection, wireless sensor, vibration modal analysis, finite element method, neural Networks, rotating shaft