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Fault Diagnosis Of Transmission System Of1.5MW Wind Turbine

Posted on:2014-02-16Degree:MasterType:Thesis
Country:ChinaCandidate:J LongFull Text:PDF
GTID:2232330398467755Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
This paper first introduced the current development situation of wind power generationindustry at home and abroad. And then discussed the research status of the fault diagnosistechnology of the wind turbine at home and abroad. Aiming at these common fault problemswhich belong to the transmission system of wind turbine, combining of mechanical faultdiagnosis theory, having completed the fault diagnosis to the transmission system of1.5MWwind turbine. This paper main researched the wind turbine rotor misalignment and rollingelement bearing fault diagnosis and proved the feasibility of diagnosis method by on-sitedismantling. The main research contents of this paper:1. Introduced the current development situation of wind power generation industry andthe research status of the fault diagnosis at home and abroad. Demonstrated the significanceof the research on fault diagnosis for the transmission system of wind turbine.2. According to the structure characteristics of1.5MW wind turbine, study and formulatethe field vibration test scheme and acquisition of vibration signal.3. Rotor misalignment fault signal was detected by analyzing the vibration signal in timedomain and frequency domain. It will make contribution to rotor misalignment faultdiagnosis.4. According to the rolling element bearing fault signal characteristic, extraction of faultsignal by analysis of the signal in time domain and frequency domain and Short-Time FourierTransform and Hilbert-Huang transform. The results showed that Hilbert-Huang Transform iseffective in rolling element bearing fault diagnosis for wind turbines and it will makecontribution to the developing of the fault diagnosis for wind turbines.The main characteristics of this paper:1. All the analysis data from field measurement, close to the actual.2. Using a variety of methods analyzed vibration signal. In order to achieve the accurate diagnosis by mutual corroboration.3. Proved the feasibility of diagnosis method by on-site dismantling.
Keywords/Search Tags:wind turbine, rotor misalignment, rolling element bearing, fault diagnosis
PDF Full Text Request
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