Extreme learning Machine-based classifier for fault diagnosis of rotating Machinery using a residual network and continuous wavelet transform

Fault diagnosis of rolling bearing based on the wavelet packet transform and deep residual network with lightweight multi branch structure

(2021) Shoucong Xiong et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Application of neural network algorithm in fault diagnosis of mechanical intelligence

(2020) Xianzhen Xu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent fault diagnosis among different rotating machines using novel stacked transfer auto-encoder optimized by PSO

(2020) Shao Haidong et al.   ISA TRANSACTIONS

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Learning Local Discriminative Representations via Extreme Learning Machine for Machine Fault Diagnosis

(2020) Yue Li et al.   NEUROCOMPUTING

Bearing fault diagnosis base on multi-scale CNN and LSTM model

(2020) Xiaohan Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Towards Robust and Accurate Detection of Abnormalities in Musculoskeletal Radiographs with a Multi-Network Model

(2020) Shuang Liang et al.   SENSORS

A comprehensive review on convolutional neural network in machine fault diagnosis

(2020) Jinyang Jiao et al.   NEUROCOMPUTING

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

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

Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform

(2019) Renxiang Chen et al.   COMPUTERS IN INDUSTRY

Data-Dependent Generalization Bounds for Multi-Class Classification

(2019) Yunwen Lei et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Combination algorithm for cracked rotor fault diagnosis based on NOFRFs and HHR

(2019) Yang Liu et al.   Journal of Mechanical Science and Technology

Mechanical fault diagnosis using Convolutional Neural Networks and Extreme Learning Machine

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

Compound Fault Diagnosis of Gearboxes via Multi-label Convolutional Neural Network and Wavelet Transform

(2019) Pengfei Liang et al.   COMPUTERS IN INDUSTRY

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

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

Multiple wavelet regularized deep residual networks for fault diagnosis

(2019) Minghang Zhao et al.   MEASUREMENT

Multiscale local features learning based on BP neural network for rolling bearing intelligent fault diagnosis

(2019) Jimeng Li et al.   MEASUREMENT

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

(2018) Duy-Tang Hoang et al.   Cognitive Systems Research

Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes

(2018) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Gear fault diagnosis based on recurrence network

(2018) Jing Meng et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

(2018) Shuhui Wang et al.   KNOWLEDGE-BASED SYSTEMS

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

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

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

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

Deep Learning Based Approach for Bearing Fault Diagnosis

(2017) Miao He et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Fault diagnosis for rotary machinery with selective ensemble neural networks

(2017) Zhen-Ya Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi layer ELM-RBF for multi-label learning

(2016) Nan Zhang et al.   APPLIED SOFT COMPUTING

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

(2016) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Improved shuffled frog leaping algorithm-based BP neural network and its application in bearing early fault diagnosis

(2015) Zhuanzhe Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Multiwavelet transform and its applications in mechanical fault diagnosis – A review

(2013) Hailiang Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING