CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis

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Light neural network with fewer parameters based on CNN for fault diagnosis of rotating machinery

(2021) Tongtong Jin et al.   MEASUREMENT

An unsupervised fault diagnosis method for rolling bearing using STFT and generative neural networks

(2020) Hongfeng Tao et al.   JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing fault diagnosis base on multi-scale CNN and LSTM model

(2020) Xiaohan Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Bearing fault diagnosis based on vibro-acoustic data fusion and 1D-CNN network

(2020) Xin Wang et al.   MEASUREMENT

Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network

(2020) Mingxuan Liang et al.   The International Journal of Advanced Manufacturing Technology

Rolling element bearing fault diagnosis for rotating machinery using vibration spectrum imaging and convolutional neural networks

(2019) Abdelraouf Youcef Khodja et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A Motor Current Signal-Based Bearing Fault Diagnosis Using Deep Learning and Information Fusion

(2019) Duy Tang Hoang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Multitask Convolutional Neural Network With Information Fusion for Bearing Fault Diagnosis and Localization

(2019) Sheng Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING