A hierarchical deep learning framework for combined rolling bearing fault localization and identification with data fusion

Intelligent Fault Diagnosis of Rolling Bearings Based on Refined Composite Multi-Scale Dispersion q-Complexity and Adaptive Whale Algorithm-Extreme Learning Machine

(2021) Wei Dong et al.   MEASUREMENT

Harnessing fuzzy neural network for gear fault diagnosis with limited data labels

(2021) Kai Zhou et al.   The International Journal of Advanced Manufacturing Technology

Experimental investigation on time-domain features in the diagnosis of rolling element bearings by acoustic emission

(2021) Aref Aasi et al.   JOURNAL OF VIBRATION AND CONTROL

Harnessing deep learning for physics-informed prediction of composite strength with microstructural uncertainties

(2021) Kai Zhou et al.   COMPUTATIONAL MATERIALS SCIENCE

Single and Multi-label Fault Classification in rotors from unprocessed multi-sensor data through deep and parallel CNN architectures

(2021) Nikhil A. Sonkul et al.   EXPERT SYSTEMS WITH APPLICATIONS

Probabilistic bearing fault diagnosis using Gaussian process with tailored feature extraction

(2021) Mingxuan Liang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A novel ResNet-based model structure and its applications in machine health monitoring

(2020) Jian Duan et al.   JOURNAL OF VIBRATION AND CONTROL

Integrated condition monitoring scheme for bearing fault diagnosis of a wind turbine gearbox

(2019) Vamsi Inturi et al.   JOURNAL OF VIBRATION AND CONTROL

In-Process Quality Inspection of Rolling Element Bearings Based on the Measurement of Microelastic Deformation of Outer Ring

(2019) Kuosheng Jiang et al.   SHOCK AND VIBRATION

Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings

(2019) David Benjamin Verstraete et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A sparse stacked denoising autoencoder with optimized transfer learning applied to the fault diagnosis of rolling bearings

(2019) Meidi Sun et al.   MEASUREMENT

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

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

Combined deep belief network in deep learning with affinity propagation clustering algorithm for roller bearings fault diagnosis without data label

(2018) Fan Xu et al.   JOURNAL OF VIBRATION AND CONTROL

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

ACDIN: Bridging the gap between artificial and real bearing damages for bearing fault diagnosis

(2018) Yuanhang Chen et al.   NEUROCOMPUTING

An Improved Bearing Fault Diagnosis Method using One-Dimensional CNN and LSTM

(2018)   STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING

Estimation of Remaining Useful Life of Rolling Element Bearings Using Wavelet Packet Decomposition and Artificial Neural Network

(2018) Abbas Rohani Bastami et al.   Iranian Journal of Science and Technology-Transactions of Electrical Engineering

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

(2018) Xiang Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A New Deep Transfer Learning Based on Sparse Auto-Encoder for Fault Diagnosis

(2017) Long Wen et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals

(2016) Jinglong Chen et al.   RENEWABLE ENERGY

Bearing Fault Diagnosis Using a Novel Classifier Ensemble Based on Lifting Wavelet Packet Transforms and Sample Entropy

(2016) Lei Zhang et al.   SHOCK AND VIBRATION

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Using supervised kernel entropy component analysis for fault diagnosis of rolling bearings

(2015) Hongdi Zhou et al.   JOURNAL OF VIBRATION AND CONTROL

Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN

(2013) D.H. Pandya et al.   EXPERT SYSTEMS WITH APPLICATIONS

Evaluation of principal component analysis and neural network performance for bearing fault diagnosis from vibration signal processed by RS and DF analyses

(2010) E.P. de Moura et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING