A Robustness Benchmark for Prognostics and Health Management
Author:
Affiliation:
1. University of Science and Techuology of China,Department of Automation,Hefei,China,230026
2. Institute of Artificial Intelligence, Hefei Comprehensive National Science Center,Hefei,China,230088
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901990.pdf?arnumber=9901990
Reference21 articles.
1. Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network;xie;IEEE Transactions on Industrial Informatics,2021
2. Intelligent fault diagnosis of rolling bearing using one-dimensional multi-scale deep convolutional neural network based health state classification
3. Convolutional neural network based fault detection for rotating machinery[J];janssens;Journal of Sound and Vibration,2016
4. Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
5. Fastened CROWN: Tightened Neural Network Robustness Certificates
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