Transfer learning based on improved stacked autoencoder for bearing fault diagnosis

Robust visual tracking for UAVs with dynamic feature weight selection

(2022) Zhiyong An et al.   APPLIED INTELLIGENCE

Diagnosis of unbalanced rolling bearing fault sample based on adaptive sparse contrative Auto-encoder and IGWO-USELM

(2022) Haiquan Song et al.   MEASUREMENT

Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism

(2022) Xiangbing Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery

(2021) Wanxiang Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A novel mathematical morphology spectrum entropy based on scale-adaptive techniques

(2021) Rui Yao et al.   ISA TRANSACTIONS

Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process

(2021) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

Research on rolling bearing fault diagnosis of small dataset based on a new optimal transfer learning network

(2021) Zhi Zheng et al.   MEASUREMENT

A multi-branch convolutional transfer learning diagnostic method for bearings under diverse working conditions and devices

(2021) Gongxian Wang et al.   MEASUREMENT

Fault size diagnosis of rolling element bearing using artificial neural network and dimension theory

(2021) Surajkumar G. Kumbhar et al.   NEURAL COMPUTING & APPLICATIONS

Modified Deep Autoencoder Driven by Multisource Parameters for Fault Transfer Prognosis of Aeroengine

(2021) Zhiyi He et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-scale dynamic adaptive residual network for fault diagnosis

(2021) Haopeng Liang et al.   MEASUREMENT

Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion

(2021) Meidi Sun et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

(2021) Weihua Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

(2020) Rafia Nishat Toma et al.   SENSORS

Multisensor bearing fault diagnosis based on one-dimensional convolutional long short-term memory networks

(2020) Shijie Hao et al.   MEASUREMENT

Instance-based ensemble deep transfer learning network: A new intelligent degradation recognition method and its application on ball screw

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

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

(2020) Behnoush Rezaeianjouybari et al.   MEASUREMENT

Coordinated approach fusing time-shift multiscale dispersion entropy and vibrational Harris hawks optimization-based SVM for fault diagnosis of rolling bearing

(2020) Kaixuan Shao et al.   MEASUREMENT

A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning

(2020) Kun Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis of Rolling Bearings Based on an Improved Stack Autoencoder and Support Vector Machine

(2020) Mingliang Cui et al.   IEEE SENSORS JOURNAL

Rolling bearing fault diagnosis using optimal ensemble deep transfer network

(2020) Xingqiu Li et al.   KNOWLEDGE-BASED SYSTEMS

A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

(2020) Xinya Wu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Two-Stage Transfer Adversarial Network for Intelligent Fault Diagnosis of Rotating Machinery With Multiple New Faults

(2020) Jipu Li et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA

(2020) Wu Deng et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

An Enhanced MSIQDE Algorithm With Novel Multiple Strategies for Global Optimization Problems

(2020) Wu Deng et al.   IEEE Transactions on Systems Man Cybernetics-Systems

ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis

(2019) Xin Wang et al.   NEUROCOMPUTING

Multilevel Information Fusion for Induction Motor Fault Diagnosis

(2019) Jinjiang Wang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

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

(2019) Meidi Sun et al.   MEASUREMENT

Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning

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

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

(2019) Gaowei Xu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis

(2019) Zhao-Hua Liu et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks

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

Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machine

(2018) Shao Haidong et al.   KNOWLEDGE-BASED SYSTEMS

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

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

Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks

(2018) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A survey on Deep Learning based bearing fault diagnosis

(2018) Duy-Tang Hoang et al.   NEUROCOMPUTING

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

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING