Adaptively Detecting the Transient Feature of Faulty Wind Turbine Planetary Gearboxes by the Improved Kurtosis and Iterative Thresholding Algorithm

It is significant for diagnosing the early faults of wind turbine planetary gearboxes. However, the weak transient feature generated by the early gear failure is often submerged in other vibration signals and noise, thus this paper discusses a new automatic sparse representation method for detecting...

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Vydané v:	IEEE access Ročník 6; s. 14602 - 14612
Hlavní autori:	Qin, Yi, Zou, Jingqiang, Cao, Folin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	adaptive feature extraction Algorithms Dictionaries early fault detection Fault diagnosis Feature extraction Gearboxes Gears improved kurtosis index Iterative algorithms Kurtosis Morlet wavelet Morlet wavelet transform sparse optimization Transient analysis Vibrations Wavelet transforms Wind turbines
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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