[1]张树忠.风机齿轮箱故障诊断系统的设计与实现[J].福建工程学院学报,2018,16(06):516-519.[doi:10.3969/j.issn.1672-4348.2018.06.002]
　ZHANG Shuzhong.Design and realization of fault diagnosis system for the wind turbine’s gearbox[J].Journal of FuJian University of Technology,2018,16(06):516-519.[doi:10.3969/j.issn.1672-4348.2018.06.002]
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风机齿轮箱故障诊断系统的设计与实现()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第16卷
期数:
2018年06期
页码:
516-519
栏目:
出版日期:
2018-12-25

文章信息/Info

Title:
Design and realization of fault diagnosis system for the wind turbine’s gearbox
作者:
张树忠
福建工程学院机械与汽车工程学院
Author(s):
ZHANG Shuzhong
School of Mechanical and Automotive Engineering, Fujian University of Technology
关键词:
风力发电机齿轮箱; 故障诊断; 小波算法; BP神经网络
Keywords:
wind turbine gearbox;  fault diagnose;  wavelet algorithm;  BP neutral network
分类号:
TH16
DOI:
10.3969/j.issn.1672-4348.2018.06.002
文献标志码:
A
摘要:
针对风力发电机关键部件齿轮箱故障频率高、诊断难的问题，开发了包含传统时频域分析和现代分析模块的故障诊断系统。该系统对所采集的振动信号进行了小波去噪、小波包分解并重构后得到各频段能量占比的特征向量，将该特征向量输入到Back Propagation（BP）神经网络模型进行振动信号与正常或各故障状态之间映射，从而智能识别运行状态。应用Matlab和Labview开发系统，输入齿轮箱的4种典型运行状态进行验证，结果表明，所设计的系统可较好地对风机齿轮箱的故障进行诊断。
Abstract:
Aiming at the issues of high failure possibility and difficult diagnosis of wind turbine gearbox, a fault diagnosis system including traditional time-frequency domain analysis and modern analysis modules was developed. After collecting the vibration signals, the system performs wavelet denoising, wavelet packet decomposition and reconstruction to obtain the eigenvectors of the energy ratio of each frequency band. The eigenvectors are fed into the Back Propagation (BP） neural network model for mapping between the vibration signals and the normal and fault states, so as to automatically detect the running states. Matlab and Labview were used to develop the system. Four typical running states of the gearbox were used as input to verify the results. Results show that the designed system can better diagnose the fault of the wind turbine gearbox.

参考文献/References:

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更新日期/Last Update: 2018-12-25