Cumulative Distribution Sharpness Profiling Based Bearing Fault Diagnosis Framework Under Variable Speed Conditions
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/9468716/09400423.pdf?arnumber=9400423
Cited by 6 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. Bearing early fault identification and condition monitoring based on dynamic difference index;Measurement Science and Technology;2024-02-21
2. Error Analysis of Instantaneous Frequency Estimation of Second-Order SST and Its Application on Analyzing Gear Meshing Stiffness From Motor Current;IEEE Transactions on Instrumentation and Measurement;2024
3. Convolutional autoencoder neural network for fault diagnosis with multi-sensor data;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2022-12-30
4. Mutual Dimensionless Indices and ROC Analysis in Bearing Fault Occurrence Detection;IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society;2022-10-17
5. Envelope Harmonic Noise Ratio Based Adaptive Kurtogram and Its Application in Bearing Compound Fault Identification;IEEE Sensors Journal;2022-05-01
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