Use of Cyclostationarity Based Condition Indicators for Gear Fault Diagnosis Under Fluctuating Speed Condition

Sharma, Vikas; Parey, Anand

doi:10.1007/978-3-319-51445-1_15

Cited by 1 publication

(1 citation statement)

References 34 publications

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“…The application of cyclostationary analysis has helped to highlight the presence of gear teeth defects that are difficult to diagnose via conventional spectral analysis [146,147]. The cyclic autocorrelation function and the indicators of cyclostationarity have been found successful in detecting gear faults under fluctuating speed conditions [148][149][150][151]. Le ´onard proposed an approach to estimate first-order time cyclostationary signals without the need for a keyphasor signal at time-varying operating conditions [152].…”

Section: Cyclostationarity Analysismentioning

confidence: 99%

A Review on Vibration-Based Fault Diagnosis Techniques for Wind Turbine Gearboxes Operating Under Nonstationary Conditions

Sharma

2021

J. Inst. Eng. India Ser. C

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Numerous studies on vibration-based techniques for fault diagnosis of wind turbine gearboxes operating under nonstationary conditions have been reported. In spite, a review on vibration-based condition monitoring and fault diagnosis techniques for gearboxes of wind turbines operating under nonstationary conditions is unavailable. Thus, the objective of this review is to discuss filtering, decomposition, entropy, and cyclostationary analysis techniques, as well as summarizing the remaining issues. This review will discuss various vibration-based diagnostic approaches developed for wind turbine gearboxes under nonstationary conditions, including both simulation and experimental approaches. Studies on dynamic models of gear systems and advanced signal-processing techniques developed for nonstationary conditions are reviewed. Additionally, the importance of multi-sensor and cointegration based approaches is discussed, and intelligent classification methods that have been used to distinguish healthy and faulty gear systems are also reviewed. Finally, the remaining research challenges are outlined.

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