NDLI: Search of a robust defect signature in gear systems across adaptive Morlet wavelet of vibration signals

Content Provider	IET Digital Library
Author	Ayad, Mouloud Chikouche, Djamel Boukazzoula, Nacereddine Rezki, Mohamed
Abstract	Monitoring of rotating machines by vibration analysis is a topic that has received a great interest in recent years. Moreover, the vibrations from a machine are affected greatly by the conditions of its operation (speed, load and so on). A significant challenge remains with the monitoring of gears under fluctuating operating conditions. An unexpected fault of gear may cause huge economic losses, even personal injury. In this study, a new method based on adaptive Morlet wavelet (AMW) is proposed for the analysis of vibration signals produced from a gear system under test in order to detect early the presence of faults. The mother Morlet wavelet is adapted with the gear vibration signal by setting parameters of the wavelet to balance the time–frequency resolution. The obtained optimal pair of parameters results in the best time–frequency resolution for the given vibration signal; and the fault detection problem is considered just as a simple signature search in the time-scale domain using scalograms. An early indication of the presence of a gear defect is obtained at the 10th day of experimentation using the AMW-based method. Whereas, the gear system has a defect on the 12th day corresponding to the tooth damage which results in a complete change in the location of the AMW coefficients.
Starting Page	918
Ending Page	926
Page Count	9
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 9, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0439
Journal	IET Signal Processing
Publisher Date	2014-12-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Mother Morlet Wavelet AMW-based Method Fault Detection Problem Fault Diagnosis Gear Monitoring System Gear Vibration Signal Analysis Gears Integral Transforms Mathematical Analysis Robust Defect Signature Rotating Machine Monitoring Scalogram Signal Processing Signal Processing And Detection Signal Processing Theory Time-frequency Analysis Time-frequency Resolution Tooth Damage Vibrations Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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