中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fault feature extraction by using adaptive chirplet transform

文献类型:会议论文

作者Guo QJ(郭前进); Yu HB(于海斌); Hu JT(胡静涛)
出版日期2006
会议名称8th World Congress on Intelligent Control and Automation
会议日期June 21-23, 2006
会议地点Dalian, China
关键词adaptive chirplet transform fault detection feature extraction time-frequency analysis
页码5643-5647
中文摘要The vibration generated by industrial machines always contains nonlinear and non-stationary signals. It is expected that a desired time-frequency analysis method should have good computation efficiency, and have good resolution in both time domain and frequency domain. In this paper, the adaptive Gaussian chirplet distribution for an integrated time-frequency signature extraction of the machine vibration is presented. The adaptive Gaussian chirplet spectrogram is non-negative, has a high time-frequency resolution, and is free of cross term interference, so it offers the advantage of good localization of the vibration signal energy in the time-frequency domain. Experimental results show that the proposed method is very effective.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Dalian Univ Technol, Northeastern Univ, Dalian Maritime Univ, Shanghai Baosight Software Co Ltd, IEEE Robot & Automat Soc, Natl Nat Sci Fdn China, Chinese Assoc Automat, IEEE Control Syst Soc, Beijing Chapter, Minist Educ China, Grandar Robot Co Ltd, Yokogawa Elect Corp, KC Wong Educ Fdn, Siemens Ltd
会议录WCICA 2006: Sixth World Congress on Intelligent Control and Automation, Vols 1-14, Conference Proceedings
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号1-4244-0331-8
WOS记录号WOS:000241773206090
源URL[http://ir.sia.cn/handle/173321/8084]  
专题沈阳自动化研究所_工业信息学研究室_工业控制系统研究室
推荐引用方式
GB/T 7714
Guo QJ,Yu HB,Hu JT. Fault feature extraction by using adaptive chirplet transform[C]. 见:8th World Congress on Intelligent Control and Automation. Dalian, China. June 21-23, 2006.

入库方式: OAI收割

来源:沈阳自动化研究所

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