Fault Feature Extraction of Rolling Bearing based on Blind Separation Noise Reduction by ITD and KICA
The fault signal and information of rolling bearing is often drowned in the noise,the traditional extraction of bearing fault feature methods are difficult to effectively extract the bearing fault feature. The SNR of blind source separation,combing the inherent time scale decomposition（ITD） and inde...
| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Journal of Mechanical Transmission
2018-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.018 |