Improved spiking neural network for intershaft bearing fault diagnosis

Adaptive fault diagnosis method for rotating machinery with unknown faults under multiple working conditions

(2022) Yang Ge et al.   JOURNAL OF MANUFACTURING SYSTEMS

A multi-layer spiking neural network-based approach to bearing fault diagnosis

(2022) Lin Zuo et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep multi-scale adversarial network with attention: A novel domain adaptation method for intelligent fault diagnosis

(2021) Bo Zhao et al.   JOURNAL OF MANUFACTURING SYSTEMS

AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis

(2021) Zhuang Ye et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep-Learning-Based Open Set Fault Diagnosis by Extreme Value Theory

(2021) Xiaolei Yu et al.   IEEE Transactions on Industrial Informatics

Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds

(2021) Hongru Cao et al.   JOURNAL OF MANUFACTURING SYSTEMS

A New assembly precision prediction method of aeroengine high-pressure rotor system considering manufacturing error and deformation of parts

(2021) Xiaokai Mu et al.   JOURNAL OF MANUFACTURING SYSTEMS

End to end multi-task learning with attention for multi-objective fault diagnosis under small sample

(2021) Zongliang Xie et al.   JOURNAL OF MANUFACTURING SYSTEMS

WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis

(2021) Tianfu Li et al.   IEEE Transactions on Systems Man Cybernetics-Systems

A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis

(2020) Kaiyu Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Supervised learning in spiking neural networks: A review of algorithms and evaluations

(2020) Xiangwen Wang et al.   NEURAL NETWORKS

A spiking neural network-based approach to bearing fault diagnosis

(2020) Lin Zuo et al.   JOURNAL OF MANUFACTURING SYSTEMS

Digital twin-driven optimization of gas exchange system of 2-stroke heavy fuel aircraft engine

(2020) Zheng Xu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences

(2020) Weihua He et al.   NEURAL NETWORKS

Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms

(2020) Masoud Jalayer et al.   COMPUTERS IN INDUSTRY

Fault diagnosis of rotating machinery based on recurrent neural networks

(2020) Yahui Zhang et al.   MEASUREMENT

Multireceptive Field Graph Convolutional Networks for Machine Fault Diagnosis

(2020) Tianfu Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization

(2020) Damith A. Senanayake et al.   IEEE Transactions on Neural Networks and Learning Systems

A transfer convolutional neural network for fault diagnosis based on ResNet-50

(2019) Long Wen et al.   NEURAL COMPUTING & APPLICATIONS

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

(2019) Emre O. Neftci et al.   IEEE SIGNAL PROCESSING MAGAZINE

A novel bearing intelligent fault diagnosis framework under time-varying working conditions using recurrent neural network

(2019) Zenghui An et al.   ISA TRANSACTIONS

Rethinking the performance comparison between SNNS and ANNS

(2019) Lei Deng et al.   NEURAL NETWORKS

Roller Bearing Degradation Assessment Based on a Deep MLP Convolution Neural Network Considering Outlier Regions

(2019) Dingcheng Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Sparse Deep Stacking Network for Fault Diagnosis of Motor

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

A Supervised Learning Algorithm for Learning Precise Timing of Multiple Spikes in Multilayer Spiking Neural Networks

(2018) Aboozar Taherkhani et al.   IEEE Transactions on Neural Networks and Learning Systems

Efficient Multispike Learning for Spiking Neural Networks Using Probability-Modulated Timing Method

(2018) Ruihan Hu et al.   IEEE Transactions on Neural Networks and Learning Systems

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

(2017) Bodo Rueckauer et al.   Frontiers in Neuroscience

Weak Fault Feature Extraction Scheme for Intershaft Bearings Based on Linear Prediction and Order Tracking in the Rotation Speed Difference Domain

(2017) et al.   Applied Sciences-Basel

Extreme Learning Machine for Multilayer Perceptron

(2016) Jiexiong Tang et al.   IEEE Transactions on Neural Networks and Learning Systems

Perceptual training continuously refines neuronal population codes in primary visual cortex

(2014) Yin Yan et al.   NATURE NEUROSCIENCE

Roller element bearing fault diagnosis using singular spectrum analysis

(2012) Bubathi Muruganatham et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING