Multi-scale dynamic adaptive residual network for fault diagnosis

Modified multiscale weighted permutation entropy and optimized support vector machine method for rolling bearing fault diagnosis with complex signals

(2021) Zhenya Wang et al.   ISA TRANSACTIONS

A new bearing fault diagnosis method based on signal-to-image mapping and convolutional neural network

(2021) Jing Zhao et al.   MEASUREMENT

Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition

(2020) Dandan Peng et al.   IEEE Transactions on Industrial Informatics

A combination of residual and long-short-term memory network for bearing fault diagnosis based on time-series model analysis

(2020) Youming Wang et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis

(2020) Zhenya Wang et al.   RENEWABLE ENERGY

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

(2020) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

On-line prognosis of fatigue cracking via a regularized particle filter and guided wave monitoring

(2019) Jian Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Generalization of deep neural network for bearing fault diagnosis under different working conditions using multiple kernel method

(2019) Zenghui An et al.   NEUROCOMPUTING

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

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

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis

(2018) Weiguo Huang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

A bearing vibration data analysis based on spectral kurtosis and ConvNet

(2018) Sandeep S. Udmale et al.   SOFT COMPUTING

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

(2017) Wenjun Sun et al.   IEEE Transactions on Industrial Informatics

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

A review on signal processing techniques utilized in the fault diagnosis of rolling element bearings

(2016) Akhand Rai et al.   TRIBOLOGY INTERNATIONAL

Rolling bearing fault diagnosis using an optimization deep belief network

(2015) Haidong Shao et al.   MEASUREMENT SCIENCE and TECHNOLOGY