Graph Entropy-Based Early Change Detection in Dynamical Bearing Degradation Process
Author:
Affiliation:
1. Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of MOE, National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6488907/10570342/10506206.pdf?arnumber=10506206
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1. An Intelligent Fault Diagnosis Scheme for Rotating Machinery Based on Supervised Domain Adaptation With Manifold Embedding
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4. Autonomous fault detection and diagnosis for permanent magnet synchronous motors using combined variational mode decomposition, the Hilbert-Huang transform, and a convolutional neural network;Demirel;Comput. Elect. Eng.,2023
5. Self-Iterated Extracting Wavelet Transform and Its Application to Fault Diagnosis of Rotating Machinery
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