Friction, Vibration and Dynamic Properties of Transmission System under Wear Progression

doi:10.3390/books978-3-0365-6258-2

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https://mdpi.com/books/pdfview/book/6595

Contributor(s)

Feng, Ke (editor)

Zheng, Jinde (editor)

Ni, Qing (editor)

Language

English

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Abstract

This reprint focuses on wear and fatigue analysis, the dynamic properties of coating surfaces in transmission systems, and non-destructive condition monitoring for the health management of transmission systems. Transmission systems play a vital role in various types of industrial structure, including wind turbines, vehicles, mining and material-handling equipment, offshore vessels, and aircrafts. Surface wear is an inevitable phenomenon during the service life of transmission systems (such as on gearboxes, bearings, and shafts), and wear propagation can reduce the durability of the contact coating surface. As a result, the performance of the transmission system can degrade significantly, which can cause sudden shutdown of the whole system and lead to unexpected economic loss and accidents. Therefore, to ensure adequate health management of the transmission system, it is necessary to investigate the friction, vibration, and dynamic properties of its contact coating surface and monitor its operating conditions.

URI

https://directory.doabooks.org/handle/20.500.12854/96650

Keywords

fault diagnosis; rotating machinery; EEMD; probability density distribution; statistical distance; mechanical parts; fault state detection; sliding dispersion entropy; feature extraction; checkvalve; local mean decomposition; wavelet packet transform; K-L divergence; variational mode decomposition (VMD); information entropy; robust independent component analysis (RobustICA); fault feature extraction; rolling bearing; autoencoder network; multisensor; feature fusion; n/a; internal turning; internal spray cooling; tool design; CFD simulations; green cutting; coupling effects; dynamic model; gear wear; wear prediction; KPLS; KELM; check valve; bearing; fast complementary ensemble empirical mode decomposition; energy kurtosis mean filtering; multipoint optimal minimum entropy deconvolution adjusted; inter-shaft bearings; local defects; time-varying displacement; elasto-hydrodynamic lubrication; defect widths