| WVAELET TRANSFORM IN TANDERN WITH AUTOREGRESSIVE TECHNIQUE FOR MONITORING AND DIAGNOSIS OF MACHINERY① |
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| 作者姓名： | He Zhengjia Zhao Jiyuan Meng Qingfeng |
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| 摘 要： | ＷＶＡＥＬＥＴＴＲＡＮＳＦＯＲＭＩＮＴＡＮＤＥＭＷＩＴＨＡＵＴＯＲＥＧＲＥＳＳＩＶＥＴＥＣＨＮＩＱＵＥＦＯＲＭＯＮＩＴＯＲＩＮＧＡＮＤＤＩＡＧＮＯＳＩＳＯＦＭＡＣＨＩＮＥＲＹ①ＨｅＺｈｅｎｇｊｉａ；ＺｈａｏＪｉｙｕａｎ；ＭｅｎｇＱｉｎｇｆｅｎｇ（Ｘｉ...
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WVAELET TRANSFORM IN TANDEM WITH AUTOREGRESSIVE TECHNIQUE FOR MONITORING AND DIAGNOSIS OF MACHINERY |
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| He Zhengjia, Zhao Jiyuan,Meng Qingfeng.WVAELET TRANSFORM IN TANDEM WITH AUTOREGRESSIVE TECHNIQUE FOR MONITORING AND DIAGNOSIS OF MACHINERY[J].Chinese Journal of Mechanical Engineering,1996(4). |
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| Authors: | He Zhengjia Zhao Jiyuan Meng Qingfeng |
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| Affiliation: | Xi'an Jiaotong University |
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| Abstract: | A new approach is advanced based on wavelet transform in tandem with autoregressive technique. Wavelets and wavelet packets decompose dynamic signal into different bands and pro- vide multiresolution or multiscale view of signal. Autoregressive technique possesses effective function for short data processing. The approach is abopted to analyse nonstationary vibration sig- nals of mining excavator. The results indicate that nonstationary operating condition can be moni- tored and diagnosed. Transient toothmeshing frequency and rotating speed are measured. Weak vibration signal of defective ball bearing is extracted from strong vibration of gearbox and diag- nosed successfully. This approach is effective for nonstationary condition monitoring and early di- agnosis of latent fault. |
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| Keywords: | Wavelet transform Wavelet packets Autoregressive technique Monitoring Diag- nosis |
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