Research on Feature Extraction of Engine Abnormal Sound Signal Based on Linear Prediction Analysis

摘要：

Engine abnormal sound signal can be regarded as convolution of impulse response of glottal excitation signal and abnormal sound channel signal, so linear prediction algorithm is proposed as deconvolution method in this paper and a joint feature vector is established by extracting the features of abnormal sound signal. Then the low-dimensional fault diagnosis feature with maximum fault signature information is obtained by using principal component analysis. Experimental results demonstrate the effectiveness of the proposed method.

关键词： feature extraction engine abnormal sound liner prediction principal component analysis

作者: Shuaishi Liu Min Yang Keping Liu Chen Chen

作者单位: School of Electrical and Electronic Engineering Changchun University of Technology China, Changchun College of Electronic Science & Engineering Jilin University China, Changchun

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 76-79

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）