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| Damage sensitivity evaluation algorithm for rolling bearing features based on PCCDET |
| WANG Zhihai,WU Xing,LIU Xiaoqin |
| Faculty of Mechanical & Electrical Engineering, Kunming University of Science and Technology, Key Laboratory of Vibration and Noise under Ministry of Education of Yunnan Province, Kunming 650500, China |
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Abstract Aiming at the problem of not sufficiently considering identification precision’s interference factors affecting distance estimation’s evaluation performance, and the problem of damage level information of rolling bearing not able to be acquired effectively due to irrelevance or redundancy among multiple indicators, a feature evaluation method based on position compensation coefficient distance estimation technique (PCCDET) was proposed.Based on the traditional distance estimation technique, the median approach was introduced to improve the algorithm’s robustness.The position coefficient was used to screen out features to better suppress the overlap ratio among different states.Furthermore, the sensitivity of each feature was comprehensively investigated according to feature samples’ polymeriability, divisibility and position distribution relation.Finally, the acoustic emission data in different damage stages of rolling bearings tested on a self-made rolling bearing fatigue test platform were used to verify the effectiveness of the proposed algorithm.Through comparing it with the other distance estimation techniques, it was shown that the proposed method can better indicate rolling bearings’ damage sensitive features, and the screened sensitive feature set has higher and more stable identification accuracy.
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Received: 09 June 2017
Published: 28 December 2018
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