Health monitoring system for transmission shafts based on adaptive parameter identification

•A health monitoring system for a transmission shaft is proposed.•Model based condition monitoring and fault diagnosis is presented.•Linear recursive identification algorithm is used for health monitoring. A health monitoring system for a transmission shaft is proposed. The solution is based on the...

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Veröffentlicht in:Mechanical systems and signal processing 2018-05, Vol.104, p.673-687
Hauptverfasser: Souflas, I., Pezouvanis, A., Ebrahimi, K.M.
Format: Artikel
Sprache:eng
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Zusammenfassung:•A health monitoring system for a transmission shaft is proposed.•Model based condition monitoring and fault diagnosis is presented.•Linear recursive identification algorithm is used for health monitoring. A health monitoring system for a transmission shaft is proposed. The solution is based on the real-time identification of the physical characteristics of the transmission shaft i.e. stiffness and damping coefficients, by using a physical oriented model and linear recursive identification. The efficacy of the suggested condition monitoring system is demonstrated on a prototype transient engine testing facility equipped with a transmission shaft capable of varying its physical properties. Simulation studies reveal that coupling shaft faults can be detected and isolated using the proposed condition monitoring system. Besides, the performance of various recursive identification algorithms is addressed. The results of this work recommend that the health status of engine dynamometer shafts can be monitored using a simple lumped-parameter shaft model and a linear recursive identification algorithm which makes the concept practically viable.
ISSN:0888-3270
1096-1216
DOI:10.1016/j.ymssp.2017.11.023