Self-Supervised Joint Learning Fault Diagnosis Method Based on Three-Channel Vibration Images

Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks

(2021) Veronika Scholz et al.   SENSORS

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

A consistency regularization based semi-supervised learning approach for intelligent fault diagnosis of rolling bearing

(2020) Kun Yu et al.   MEASUREMENT

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

(2020) Kun Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Supervised or unsupervised learning? Investigating the role of pattern recognition assumptions in the success of binary predictive prescriptions

(2020) Ruholla Jafari-Marandi   NEUROCOMPUTING

Fault diagnosis of planetary gearbox using a novel semi-supervised method of multiple association layers networks

(2019) Kai Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

(2018) Xiang Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Symplectic geometry mode decomposition and its application to rotating machinery compound fault diagnosis

(2018) Haiyang Pan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machining vibration states monitoring based on image representation using convolutional neural networks

(2017) Yang Fu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Detection of Bearing Faults in Mechanical Systems Using Stator Current Monitoring

(2017) Sukhjeet Singh et al.   IEEE Transactions on Industrial Informatics

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Wavelet-based numerical analysis: A review and classification

(2013) Bing Li et al.   FINITE ELEMENTS IN ANALYSIS AND DESIGN

Signal Model-Based Fault Detection and Diagnosis for Induction Motors Using Features of Vibration Signal in Two-Dimension Domain

(2011) Van Tuan Do et al.   STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING