TFC-TFECR feature extraction and state recognition of acoustic emission signal of cylindrical roller bearing
Author:
Affiliation:
1. School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China
2. Preduct Development Center, AECC Gas Turbin Co., Ltd., Shenyang, China
Funder
the AECC Application Innovation Project
the Key Project of Liaoning Provincial Education Department
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2338480
Reference40 articles.
1. Spectrum Shape Based Roller Bearing Fault Detection and Identification
2. Empirical-based DA and ANN to diagnose misalignment in rotor-bearing system
3. A parameter optimized variational mode decomposition method for rail crack detection based on acoustic emission technique
4. Early sub-surface fault detection in rolling element bearing using acoustic emission signal based on a hybrid parameter of energy entropy and deep autoencoder
5. A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size
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