Rolling Bearing Fault Diagnosis Based on Wavelet Packet and RBF Neural Network
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/4346752/4346753/04346979.pdf?arnumber=4346979
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fault Diagnosis of Ball Bearing Elements: A Generic Procedure based on Time-Frequency Analysis;Measurement Science Review;2019-08-01
2. Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model;Engineering Applications of Artificial Intelligence;2016-01
3. A data mining approach for fault diagnosis: An application of anomaly detection algorithm;Measurement;2014-09
4. The Research of the Rolling Element Bearing Fault Signal Frequency Domain Feature Extraction Method Based on the Wavelet Packet Decomposition;Advanced Materials Research;2014-05
5. Roller Element Bearing of Mine Ventilating Fan with Fault Diagnosis Based on Mechanics Properties and RBF Neural Network;Advanced Materials Research;2012-12
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