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)![]() ![]() |
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
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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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