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

A simple data augmentation algorithm and a self-adaptive convolutional architecture for few-shot fault diagnosis under different working conditions

(2020) Tianhao Hu et al.   MEASUREMENT

Practices of fault diagnosis in household appliances: Insights for design

(2020) Beatriz Pozo Arcos et al.   JOURNAL OF CLEANER PRODUCTION

Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks

(2020) Chaofan Hu et al.   KNOWLEDGE-BASED SYSTEMS

Deep representation clustering-based fault diagnosis method with unsupervised data applied to rotating machinery

(2020) Xiang Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Deep Learning Method for Bearing Fault Diagnosis through Stacked Residual Dilated Convolutions

(2019) Zilong Zhuang et al.   Applied Sciences-Basel

A novel deep learning based fault diagnosis approach for chemical process with extended deep belief network

(2019) Yalin Wang et al.   ISA TRANSACTIONS

A Clustering-Based Surrogate-Assisted Multiobjective Evolutionary Algorithm for Shelter Location Problem Under Uncertainty of Road Networks

(2019) Xiaoshu Xiang et al.   IEEE Transactions on Industrial Informatics

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

A review on data-driven fault severity assessment in rolling bearings

(2018) Mariela Cerrada et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

(2018) Xiang Li et al.   NEUROCOMPUTING

A novel optimized SVM classification algorithm with multi-domain feature and its application to fault diagnosis of rolling bearing

(2018) Xiaoan Yan et al.   NEUROCOMPUTING

Feature Extraction Method for Condition Monitoring of Rolling Element Bearings Based on Dual-Tree Complex Wavelet Packet Transform and VMD

(2018) Qiming Niu et al.   WIRELESS PERSONAL COMMUNICATIONS

An enhancement denoising autoencoder for rolling bearing fault diagnosis

(2018) Zong Meng et al.   MEASUREMENT

SVM-DS fusion based soft fault detection and diagnosis in solar water heaters

(2018) Song Jiang et al.   ENERGY EXPLORATION & EXPLOITATION

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

Compound fault diagnosis of bearings using improved fast spectral kurtosis with VMD

(2018) Shuting Wan et al.   Journal of Mechanical Science and Technology

Differential evolution optimization for resilient stacked sparse autoencoder and its applications on bearing fault diagnosis

(2018) Syahril Ramadhan Saufi et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Research on an Adaptive Variational Mode Decomposition with Double Thresholds for Feature Extraction

(2018) Wu Deng et al.   Symmetry-Basel

Bearing Fault Diagnosis under Variable Rotational Speeds Using Stockwell Transform-Based Vibration Imaging and Transfer Learning

(2018) Md Junayed Hasan et al.   Applied Sciences-Basel

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

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT