基于风力机平台和MATLAB的故障诊断实验设计  

Experiment design of fault diagnosis based on wind turbine platform and MATLAB

作　　者：王向华 王静远 任衍恒 盖文东 WANG Xianghua;WANG Jingyuan;REN Yanheng;GAI Wendong(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]山东科技大学电气与自动化工程学院,山东青岛266590

出　　处：《实验技术与管理》2022年第3期171-175,共5页Experimental Technology and Management

基　　金：山东科技大学青年教师教学拔尖人才培养计划(BJ20211115);新工科研究与实践项目(E-GXHPY20200418);山东省本科教学改革研究项目(P2020001,Z2020021)。

摘　　要：这是利用风力机实验平台和MATLAB开发的故障诊断实验项目。利用风力机实验平台上的传感器采集齿轮振动信号并传输到电脑,利用MATLAB软件对振动信号进行特征提取,所提取的特征包括时域特征和频域特征。对于时域特征,直接利用计算公式即可求出具体特征值;对于频域特征,先利用傅里叶变换将采集的时域信号转换为频域信号,再通过公式计算频域特征值。从时域和频域特征中,选择了不同工况间特征值差距较大的两个特征,并利用所选择的特征和阴性选择算法进行了风力机齿轮的故障诊断。该文详细阐述了风力机齿轮故障诊断的实验原理和具体过程,旨在帮助学生掌握基本的信号处理方法和具体的故障诊断流程。The fault diagnosis experiment project is developed by the wind turbine experiment platform and MATLAB software.The gear vibration signal is collected by the sensors on the wind turbine experiment platform and then transmitted to the computer,and the feature extraction of the vibration signals including time-domain and frequency-domain features are carried out in the MATLAB software.For the time-domain features,their eigenvalues are directly computed according to the formula;for the frequency-domain features,the collected time-domain signal is firstly converted into the frequency-domain signal by Fourier transform,for which the eigenvalues of frequency-domain features are obtained.Select two features whose eigenvalues vary largely for different working cases and utilize negative selection algorithm to conduct fault diagnosis for wind turbine.This article elaborates on the experiment principle and specific process of fault diagnosis for the wind turbine gear,aiming to help students master the basic signal processing methods and fault diagnosis algorithms.

关 键 词：傅里叶变换 风力机实验平台 阴性选择算法 MATLAB 故障诊断 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] G642.0[自动化与计算机技术—控制科学与工程]