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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
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Application of order tracking analysis based on cRIO in wind power
ZHANG Chengpeng, FENG Kun, JIANG Zhinong
(Diagnosis and SelfRecovery Engineering Research Center, Beijing University of
Chemical Technology, Beijing 100029,China)
Abstract: Aiming at the characteristic of the nonstationary vibration signal from gearboxes of wind power generators, an analysis method on fault diagnosis of gears with pitting corrosion was explored by the combination of order tracking analysis and envelope extraction Firstly, vibration signal on gearboxes was acquired with Compact RIO(CRIO) Then the signal was processed by means of envelope extraction and the processed signal was converted to evenangle signal Order tracking analysis for evenangle signal was achieved in the next step According to the comparison with frequency characteristics of normal gears, that on gears with pitting corrosion can be found The results indicate that fuzzy frequency can be solved by order tracking analysis in simulation, and fault frequency characteristics can be analyzed effectively in the experiment about gears with pitting corrosion Therefore, order tracking analysis has a broad application prospect in the fault diagnosis of gearboxes of the wind power generators
Key words: wind power generators; fault diagnosis of gearboxes; computed order tracking(COT); fault diagnosis; Compact RIO(CRIO)