Feature-level consistency regularized Semi-supervised scheme with data augmentation for intelligent fault diagnosis under small samples

The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis

(2021) Stephan Schmidt et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The Enfigram: A robust method for extracting repetitive transients in rolling bearing fault diagnosis

(2021) Yonggang Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent fault identification for industrial automation system via multi-scale convolutional generative adversarial network with partially labeled samples

(2020) Tongyang Pan et al.   ISA TRANSACTIONS

Single and simultaneous fault diagnosis of gearbox via a semi-supervised and high-accuracy adversarial learning framework

(2020) Pengfei Liang et al.   KNOWLEDGE-BASED SYSTEMS

Hybrid attribute conditional adversarial denoising autoencoder for zero-shot classification of mechanical intelligent fault diagnosis

(2020) Haixin Lv et al.   APPLIED SOFT COMPUTING

Gearbox Fault Diagnosis Using a Deep Learning Model With Limited Data Sample

(2020) Syahril Ramadhan Saufi et al.   IEEE Transactions on Industrial Informatics

Intelligent Condition-Based Monitoring of Rotary Machines With Few Samples

(2020) Sonal Dixit et al.   IEEE SENSORS JOURNAL

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

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Novel Deep Learning Network via Multiscale Inner Product With Locally Connected Feature Extraction for Intelligent Fault Detection

(2019) Tongyang Pan et al.   IEEE Transactions on Industrial Informatics

A survey on semi-supervised learning

(2019) Jesper E. van Engelen et al.   MACHINE LEARNING

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis

(2018) Syahril Ramadhan Saufi et al.   MEASUREMENT SCIENCE and TECHNOLOGY