Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks

A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

(2021) Chuang Chen et al.   IEEE-CAA Journal of Automatica Sinica

Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions

(2021) Wei Zhang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning

(2021) Wei Zhang et al.   IEEE Transactions on Industrial Informatics

Federated Transfer Learning for Intelligent Fault Diagnostics Using Deep Adversarial Networks With Data Privacy

(2021) Wei Zhang et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System

(2021) Zhenan Pang et al.   IEEE-CAA Journal of Automatica Sinica

Federated learning for machinery fault diagnosis with dynamic validation and self-supervision

(2020) Wei Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Generative adversarial networks for data augmentation in machine fault diagnosis

(2019) Siyu Shao et al.   COMPUTERS IN INDUSTRY

Remaining Useful Lifetime Prediction via Deep Domain Adaptation

(2019) Paulo Roberto de Oliveira da Costa et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multi-sensor information fusion for remaining useful life prediction of machining tools by adaptive network based fuzzy inference system

(2018) Jun Wu et al.   APPLIED SOFT COMPUTING

Remaining Useful Life Prediction and State of Health Diagnosis for Lithium-Ion Batteries Using Particle Filter and Support Vector Regression

(2018) Jingwen Wei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Integration of Data-Level Fusion Model and Kernel Methods for Degradation Modeling and Prognostic Analysis

(2018) Changyue Song et al.   IEEE TRANSACTIONS ON RELIABILITY

Machinery health indicator construction based on convolutional neural networks considering trend burr

(2018) Liang Guo et al.   NEUROCOMPUTING

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

(2018) Xiang Li et al.   NEUROCOMPUTING

Remaining useful life estimation in prognostics using deep convolution neural networks

(2018) Xiang Li et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A recurrent neural network based health indicator for remaining useful life prediction of bearings

(2017) Liang Guo et al.   NEUROCOMPUTING

Multistream sensor fusion-based prognostics model for systems with single failure modes

(2017) Xiaolei Fang et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction of aircraft engine based on degradation pattern learning

(2017) Zeqi Zhao et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics

(2017) Chong Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Multiple Sensor Data Fusion for Degradation Modeling and Prognostics Under Multiple Operational Conditions

(2016) Hao Yan et al.   IEEE TRANSACTIONS ON RELIABILITY

Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

(2015) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

PHM-Oriented Integrated Fusion Prognostics for Aircraft Engines Based on Sensor Data

(2014) Jiuping Xu et al.   IEEE SENSORS JOURNAL

Condition based maintenance-systems integration and intelligence using Bayesian classification and sensor fusion

(2013) Parikshit Mehta et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A generic probabilistic framework for structural health prognostics and uncertainty management

(2011) Pingfeng Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING