基于核密度估计分类器的变换器故障诊断方法  

Fault Diagnosis Method of Converter Based on Kernel Density Estimation Classifier

作　　者：黄丽梅 王武[1,2] 林琼斌[1,2] 蔡逢煌[1,2] 陈四雄[3] HUANG Limei;WANG Wu;LIN Qiongbin;CAI Fenghuang;CHEN Sixiong(College of Electrical Engineering and Automation,Fuzhou University,Fuzhou 350116,Fujian Province,China;Kehua Hengsheng Power Electronics Technology Research Center,Fuzhou University,Fuzhou 350116,Fujian Province,China;Xiamen Kehua Hengsheng Co.,Ltd.,Xiamen 361006,Fujian Province,China)

机构地区：[1]福州大学电气工程与自动化学院,福建省福州市350116 [2]福州大学科华恒盛电力电子研究中心,福建省福州市350116 [3]厦门科华恒盛股份有限公司,福建省厦门市361006

出　　处：《电网技术》2019年第6期2204-2210,共7页Power System Technology

基　　金：国家自然科学基金项目(61603094);福建省科学科技项目(2016J05154);厦门科华恒盛科技创新基金资助项目(KHHS20170416)~~

摘　　要：现有变换器的故障诊断过程需训练大量的故障样本才能实现故障的识别和定位,但故障数据获取困难且训练过程复杂。针对这一问题,提出一种结合基于Mallat(快速递推算法)的三次B样条小波分析与核密度估计算法。该方法首先釆用基于Mallat的三次B样条小波分析方法对变换器的输出电压进行预处理,加强抗噪声能力并降低数据维度;其后,基于核密度估计的分类器对故障进行识别和定位。所提方法在故障辨识阶段无需故障样本仅对正常样本进行训练便能准确识别故障样本,且在故障定位阶段仅需训练少量故障样本就能实现故障的定位,具有抗干扰能力强、实现简单、诊断率高的优点。仿真和实验验证了所提方法的可行性和有效性。Existing fault diagnosis of converters needs to train a large number of fault samples to realize fault identification and location, but fault data acquisition is difficult and the training process is complicated. This paper presents an algorithm combining quadratic B spline wavelet analysis based on Mallat (fast recursive algorithm) and kernel density estimation to solve above problems. Firstly, the output voltage of the converter is pre-processed with quadratic B spline wavelet analysis based on Mallat to enhance anti-noise ability and reduce data dimension. Then, the classifier based on kernel density estimation is used to identify and locate fault samples. The proposed method can identify fault samples accurately without fault samples in fault identification stage, and only a few number of fault samples in fault location stage need to train for realizing fault location. The method has advantages of high reliability, simple implementation and high classification performance. Simulation and experiment verify feasibility and effectiveness of the proposed method.

关 键 词：故障诊断 识别定位 三次B样条小波分析 MALLAT 核密度估计 

分 类 号：TM721[电气工程—电力系统及自动化]