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A Smart System for an Assessment of the Remaining Useful Life of Ball Bearings by Applying Chaos-Based Health Indicators and a Self-Selective Regression Model Journal article
Shih-Yu Li, Hao-An Li, Lap-Mou Tam, Chin-Sheng Chen. A Smart System for an Assessment of the Remaining Useful Life of Ball Bearings by Applying Chaos-Based Health Indicators and a Self-Selective Regression Model[J]. SENSORS, 2023, 23(3), 1267.
Authors:  Shih-Yu Li;  Hao-An Li;  Lap-Mou Tam;  Chin-Sheng Chen
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:3.4/3.7 | Submit date：2023/03/06
Smart Assessment  Remaining Useful Life (Rul)  Chaos-based Health Indicators (Chi)  Regression Analysis  Iterative Cumulative Moving Average (Icma)  
An Improved Recursive ARIMA Method with Recurrent Process for Remaining Useful Life Estimation of Bearings Journal article
Luo, Zeyu, Wang, Xian-Bo, Yang, Zhi-Xin. An Improved Recursive ARIMA Method with Recurrent Process for Remaining Useful Life Estimation of Bearings[J]. Shock and Vibration, 2022, 2022, 9010419.
Authors:  Luo, Zeyu;  Wang, Xian-Bo;  Yang, Zhi-Xin
Favorite | TC[WOS]:3 TC[Scopus]:7  IF:1.2/1.4 | Submit date：2022/08/31
Remaining Useful Life  Neural Network  
An Improved Recursive ARIMA Method with Recurrent Process for Remaining Useful Life Estimation of Bearings Journal article
Luo, Zeyu, Wang, Xian-Bo, Yang, Zhi-Xin. An Improved Recursive ARIMA Method with Recurrent Process for Remaining Useful Life Estimation of Bearings[J]. SHOCK AND VIBRATION, 2022, 2022, 9010419.
Authors:  Luo, Zeyu;  Wang, Xian-Bo;  Yang, Zhi-Xin
Favorite | TC[WOS]:3 TC[Scopus]:7  IF:1.2/1.4 | Submit date：2022/05/17
Remaining Useful Life  Neural Network  
Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation Journal article
Yang,Wensi, Yao,Qingfeng, Ye,Kejiang, Xu,Cheng Zhong. Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation[J]. International Journal of Parallel Programming, 2019, 48(1), 61-79.
Authors:  Yang,Wensi;  Yao,Qingfeng;  Ye,Kejiang;  Xu,Cheng Zhong
Favorite | TC[WOS]:17 TC[Scopus]:22  IF:0.9/0.9 | Submit date：2021/03/09
Convolutional Neural Networks  Empirical Mode Decomposition  Reliability  Remaining Useful Life  
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery Conference paper
Yang Z.-X., Zhang P.-B.. ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery[C], 2016, 2321-2328.
Authors:  Yang Z.-X.;  Zhang P.-B.
Favorite | TC[WOS]:12 TC[Scopus]:18 | Submit date：2018/12/22
Extreme Learning Machine (Elm)  Fault Diagnosis  Hybrid Intelligent Model  Network  Predication  Remaining Useful Life  
Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model Journal article
Liao W.-Z., Pan E.-S., Wang Y., Xi L.-F.. Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model[J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2011, 45(7), 1000-1005.
Authors:  Liao W.-Z.;  Pan E.-S.;  Wang Y.;  Xi L.-F.
Favorite |  | Submit date：2019/01/16
Auto-regressive and moving average (ARMA) model  Health index (HI)  Prediction  Remaining useful life (RUL)  Statistical pattern recognition (SPR)