相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks
Yiwei Cheng et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks
Min Xia et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions
Cheng-Geng Huang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Real-Time Monitoring and Control of Industrial Cyberphysical Systems With Integrated Plant-Wide Monitoring and Control Framework
Shen Yin et al.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2019)
Automatic Power Quality Events Recognition Based on Hilbert Huang Transform and Weighted Bidirectional Extreme Learning Machine
Mrutyunjaya Sahani et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Online Tool Wear Monitoring Via Hidden Semi-Markov Model With Dependent Durations
Kunpeng Zhu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Remaining useful life estimation of engineered systems using vanilla LSTM neural networks
Yuting Wu et al.
NEUROCOMPUTING (2018)
Remaining useful life estimation in prognostics using deep convolution neural networks
Xiang Li et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2018)
Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network
Lei Ren et al.
IEEE ACCESS (2018)
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
Dahai Zhang et al.
IEEE ACCESS (2018)
Data-Driven Monitoring and Safety Control of Industrial Cyber-Physical System: Basics and Beyond
Yuchen Jiang et al.
IEEE ACCESS (2018)
Lithium-ion battery remaining useful life prediction based on GRU-RNN
Yuchen Song et al.
12TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY, AND SAFETY (ICRMS 2018) (2018)
RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model
Qingqing Zhai et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Multiobjective Deep Belief Networks Ensemble for Remaining Useful Life Estimation in Prognostics
Chong Zhang et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
Hidden Markov Models for the Prediction of Impending Faults
Abdenour Soualhi et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Model-Based Fault Diagnosis of a Planetary Gear: A Novel Approach Using Transmission Error
Jungho Park et al.
IEEE TRANSACTIONS ON RELIABILITY (2016)
A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering
Kamran Javed et al.
IEEE TRANSACTIONS ON CYBERNETICS (2015)
Review of Hybrid Prognostics Approaches for Remaining Useful Life Prediction of Engineered Systems, and an Application to Battery Life Prediction
Linxia Liao et al.
IEEE TRANSACTIONS ON RELIABILITY (2014)
Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression
Theodoros H. Loutas et al.
IEEE TRANSACTIONS ON RELIABILITY (2013)