Bearing condition monitoring and fault diagnosis based on mathematical morphology and fractal theory and PNN
Aiming at the problems about poor real-time monitoring of rolling bearing condition and low accuracy of fault diagnosis, a feature extraction algorithm based on improved local mean decomposition (ILMD) and mathematical morphology fractal theory is proposed, and making it combine with probabilistic n...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Editorial Department of Journal of Sichuan University (Natural Science Edition)
2021-01-01
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| シリーズ: | 四川大学学报. 自然科学版 |
| 主題: | |
| オンライン･アクセス: | http://science.scu.edu.cn/thesisDetails#10.19907/j.0490-6756.2021.053002 |
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