NDLI: Case study on the effectiveness of gear fault diagnosis technique for gear tooth defects under fluctuating speed

Content Provider	IET Digital Library
Author	Sharma, Vikas Parey, Anand
Abstract	Gears are very reliable parts of wind turbines and normally contribute for more than 5 years without failure when operated under fluctuating speed conditions. This case study presents the effectiveness of gear fault diagnosis techniques to highlight cracked tooth, chipped tooth and missing tooth gear under fluctuating speed conditions. Various measuring parameters such as overall vibration acceleration and envelope-detected acceleration were calculated for vibration signal, and sound intensity and sound pressure were calculated for acoustic signal. A statistical indicator kurtosis was also calculated for both vibration signal and acoustic signal. These measuring parameters were then compared with showing the fault detection capability of techniques employed under fluctuating speed and also under different loading conditions. The detection of faults by kurtosis of acoustic signal is found most efficient. For low load conditions, envelope-detected acceleration of vibration signal can also support fault diagnosis under fluctuating speed conditions.
Starting Page	1841
Ending Page	1849
Page Count	9
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 14, Dec (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0639
Journal	IET Renewable Power Generation
Publisher Date	2017-08-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Acoustic Intensity Acoustic Signal Acoustic Signal Detection Acoustic Signal Processing Chipped Tooth Cracked Tooth Envelope-detected Acceleration Fault Detection Fault Diagnosis Gear Fault Diagnosis Technique Gear Tooth Defects Gears Missing Tooth Gear Signal Detection Sound Intensity Sound Pressure Statistical Analysis Statistical Indicator Kurtosis Statistics Vibration Acceleration Vibration Signal Vibrations Wind Power Plant Wind Turbine
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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