Asymmetric inter-intra domain alignments (AIIDA) method for intelligent fault diagnosis of rotating machinery

A Domain Adaptation with Semantic Clustering (DASC) method for fault diagnosis of rotating machinery

(2021) Myungyon Kim et al.   ISA TRANSACTIONS

Machine learning for reliability engineering and safety applications: Review of current status and future opportunities

(2021) Zhaoyi Xu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A novel class imbalance-robust network for bearing fault diagnosis utilizing raw vibration signals

(2020) Weiwei Qian et al.   MEASUREMENT

Double-level adversarial domain adaptation network for intelligent fault diagnosis

(2020) Jinyang Jiao et al.   KNOWLEDGE-BASED SYSTEMS

Operational reliability evaluation and prediction of rolling bearing based on isometric mapping and NoCuSa-LSSVM

(2020) Shuzhi Gao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multi-scale deep intra-class transfer learning for bearing fault diagnosis

(2020) Xu Wang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Fault diagnosis method of rolling bearing based on multiple classifier ensemble of the weighted and balanced distribution adaptation under limited sample imbalance

(2020) Renxiang Chen et al.   ISA TRANSACTIONS

Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis

(2020) Jin Uk Ko et al.   COMPUTERS IN INDUSTRY

A novel geodesic flow kernel based domain adaptation approach for intelligent fault diagnosis under varying working condition

(2019) Zhongwei Zhang et al.   NEUROCOMPUTING

A systematic methodology for Prognostic and Health Management system architecture definition

(2019) Rui Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Beyond Sharing Weights for Deep Domain Adaptation

(2018) Artem Rozantsev et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models

(2018) Wasim Ahmad et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines

(2018) M.M. Manjurul Islam et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Recent advances in prognostics and health management for advanced manufacturing paradigms

(2018) Tangbin Xia et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings

(2018) Jinyang Jiao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Omnidirectional regeneration (ODR) of proximity sensor signals for robust diagnosis of journal bearing systems

(2017) Joon Ha Jung et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Rolling element bearing diagnostics—A tutorial

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

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A theory of learning from different domains

(2009) Shai Ben-David et al.   MACHINE LEARNING