An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis

Rolling bearing fault diagnosis utilizing variational mode decomposition based fractal dimension estimation method

(2021) Yunqiang Zhang et al.   MEASUREMENT

Research of a fault diagnosis method for rolling bearing based on improved multiscale range entropy and hierarchical prototype

(2021) Likang Zheng et al.   MEASUREMENT SCIENCE and TECHNOLOGY

ANS-net: anti-noise Siamese network for bearing fault diagnosis with a few data

(2021) Qin Fang et al.   NONLINEAR DYNAMICS

Compound fault diagnosis of rolling bearing using PWK-sparse denoising and periodicity filtering

(2021) Jing Meng et al.   MEASUREMENT

A fault diagnosis method based on one-dimensional data enhancement and convolutional neural network

(2021) Yunyao Long et al.   MEASUREMENT

Light neural network with fewer parameters based on CNN for fault diagnosis of rotating machinery

(2021) Tongtong Jin et al.   MEASUREMENT

A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

(2021) Kai Zhang et al.   MEASUREMENT

Experimental investigation on electro-hydraulic actuator fault diagnosis with multi-channel residuals

(2021) Jianguo Miao et al.   MEASUREMENT

Dynamic modeling and quantitative diagnosis for dual-impulse behavior of rolling element bearing with a spall on inner race

(2021) Maolin Luo et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis

(2021) Boyao Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault detection for planetary gearbox based on an enhanced average filter and modulation signal bispectrum analysis

(2020) Junchao Guo et al.   ISA TRANSACTIONS

Enhanced sparse filtering with strong noise adaptability and its application on rotating machinery fault diagnosis

(2020) Zongzhen Zhang et al.   NEUROCOMPUTING

Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks

(2020) Dengji Zhou et al.   ENERGY

A novel method based on nonlinear auto-regression neural network and convolutional neural network for imbalanced fault diagnosis of rotating machinery

(2020) Quan Zhou et al.   MEASUREMENT

An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case

(2020) Lei Zou et al.   NEUROCOMPUTING

Research on Bearing Fault Diagnosis Method Based on an Adaptive Anti-Noise Network under Long Time Series

(2020) Changdong Wang et al.   SENSORS

Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification

(2019) Xin-Cheng Cao et al.   COMPUTERS IN INDUSTRY

A Novel Deep Learning Method for Intelligent Fault Diagnosis of Rotating Machinery Based on Improved CNN-SVM and Multichannel Data Fusion

(2019) Gong et al.   SENSORS

Monitoring gear surface degradation using cyclostationarity of acoustic emission

(2019) P. Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

A novel feature representation method based on original waveforms for acoustic emission signals

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

A New Intelligent Bearing Fault Diagnosis Method Using SDP Representation and SE-CNN

(2019) Hui Wang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

(2018) Wei Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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 intelligent fault diagnosis method of rotating machinery using L1-regularized sparse filtering

(2018) Weiwei Qian et al.   Journal of Vibroengineering

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

An Intelligent Fault Diagnosis Method for Bearings with Variable Rotating Speed Based on Pythagorean Spatial Pyramid Pooling CNN

(2018) Sheng Guo et al.   SENSORS

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

The application of spectral kurtosis on Acoustic Emission and vibrations from a defective bearing

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