Improved generative adversarial network for vibration-based fault diagnosis with imbalanced data

Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network

(2019) M.M. Manjurul Islam et al.   COMPUTERS IN INDUSTRY

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

Deep learning fault diagnosis method based on global optimization GAN for unbalanced data

(2019) Funa Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Intelligent Fault Diagnosis Method Based on Full 1-D Convolutional Generative Adversarial Network

(2019) Qingwen Guo et al.   IEEE Transactions on Industrial Informatics

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

(2018) Rui Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery

(2018) Liuyang Song et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Cost-sensitive and hybrid-attribute measure multi-decision tree over imbalanced data sets

(2018) Fenglian Li et al.   INFORMATION SCIENCES

IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems

(2018) Chenjie Cao et al.   KNOWLEDGE-BASED SYSTEMS

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

An Integrated Class-Imbalanced Learning Scheme for Diagnosing Bearing Defects in Induction Motors

(2017) Roozbeh Razavi-Far et al.   IEEE Transactions on Industrial Informatics

Multi-bearing remaining useful life collaborative prediction: A deep learning approach

(2017) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Entropy-based fuzzy support vector machine for imbalanced datasets

(2017) Qi Fan et al.   KNOWLEDGE-BASED SYSTEMS

Online feature selection for high-dimensional class-imbalanced data

(2017) Peng Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks

(2017) Rui Zhao et al.   SENSORS

Cost-sensitive meta-learning classifiers: MEPAR-miner and DIFACONN-miner

(2016) Sinem Kulluk et al.   KNOWLEDGE-BASED SYSTEMS

A cost-sensitive classification algorithm: BEE-Miner

(2016) Pınar Tapkan et al.   KNOWLEDGE-BASED SYSTEMS

Recursive Undecimated Wavelet Packet Transform and DAG SVM for Induction Motor Diagnosis

(2015) Hassen Keskes et al.   IEEE Transactions on Industrial Informatics

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine

(2015) Ye Tian et al.   MECHANISM AND MACHINE THEORY

Application of correlation matching for automatic bearing fault diagnosis

(2012) Xiaofeng Liu et al.   JOURNAL OF SOUND AND VIBRATION

Application to induction motor faults diagnosis of the amplitude recovery method combined with FFT

(2010) Yukun Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Model based fault diagnosis of a rotor–bearing system for misalignment and unbalance under steady-state condition

(2009) Arun Kr. Jalan et al.   JOURNAL OF SOUND AND VIBRATION