Remaining Useful Life Prediction of Rolling Element Bearings Based on Unscented Kalman Filter

Applied Condition Monitoring - Advances in Condition Monitoring of Machinery in Non-Stationary Operations ◽

10.1007/978-3-030-11220-2_12 ◽

2019 ◽

pp. 111-121

Author(s):

Junyu Qi ◽

Alexadre Mauricio ◽

Mathieu Sarrazin ◽

Karl Janssens ◽

Konstantinos Gryllias

Keyword(s):

Kalman Filter ◽

Life Prediction ◽

Unscented Kalman Filter ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Rolling Element ◽

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Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2019.2924509 ◽

2020 ◽

Vol 69 (6) ◽

pp. 2858-2867 ◽

Author(s):

Lingli Cui ◽

Xin Wang ◽

Huaqing Wang ◽

Jianfeng Ma

Keyword(s):

Kalman Filter ◽

Life Prediction ◽

Remaining Useful Life ◽

Time Varying ◽

Rolling Element Bearings ◽

Rolling Element ◽

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A nonlinear degradation model based method for remaining useful life prediction of rolling element bearings

2015 Prognostics and System Health Management Conference (PHM) ◽

10.1109/phm.2015.7380036 ◽

2015 ◽

Author(s):

Yaguo Lei ◽

Naipeng Li ◽

Feng Jia ◽

Jing Lin ◽

Saibo Xing

Keyword(s):

Life Prediction ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Degradation Model ◽

Model Based ◽

Rolling Element ◽

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Remaining useful life prediction approach for rolling element bearings based on optimized SVR model with reliable time intervals

2021 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) ◽

10.1109/icps49255.2021.9468252 ◽

2021 ◽

Author(s):

Shouren Nie ◽

Yuchen Jiang ◽

Kuan Li ◽

Hao Luo ◽

Xianling Li ◽

...

Keyword(s):

Life Prediction ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Time Intervals ◽

Rolling Element ◽

Useful Life ◽

Prediction Approach

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Health stages division and remaining useful life prediction of rolling element bearings based on hidden semi-Markov model

10.1109/ccdc52312.2021.9601903 ◽

2021 ◽

Author(s):

Hongwei Wu ◽

Zhenxing Liu ◽

Yong Zhang ◽

Ying Zheng ◽

Cong Tang

Keyword(s):

Markov Model ◽

Life Prediction ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Rolling Element ◽

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A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing

Measurement ◽

10.1016/j.measurement.2018.12.028 ◽

2019 ◽

Vol 135 ◽

pp. 678-684 ◽

Author(s):

Lingli Cui ◽

Xin Wang ◽

Yonggang Xu ◽

Hong Jiang ◽

Jianping Zhou

Keyword(s):

Kalman Filter ◽

Life Prediction ◽

Unscented Kalman Filter ◽

Rolling Bearing ◽

Remaining Useful Life ◽

Filter Method ◽

Useful Life ◽

Kalman Filter Method

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Remaining Useful Life Prediction of Lithium-ion Battery Based on Unscented Kalman Filter and Back propagation Neural Network

2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS) ◽

10.1109/ddcls.2019.8908952 ◽

2019 ◽

Author(s):

Zhouxiao Xiao ◽

Huajing Fang ◽

Zheng Li ◽

Yang Chang

Keyword(s):

Neural Network ◽

Kalman Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Unscented Kalman Filter ◽

Back Propagation ◽

Lithium Ion ◽

Back Propagation Neural Network ◽

Remaining Useful Life ◽

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Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

Neurocomputing ◽

10.1016/j.neucom.2019.09.074 ◽

2020 ◽

Vol 376 ◽

pp. 95-102 ◽

Author(s):

Zhiwei Xue ◽

Yong Zhang ◽

Cheng Cheng ◽

Guijun Ma

Keyword(s):

Kalman Filter ◽

Support Vector Regression ◽

Lithium Ion Batteries ◽

Life Prediction ◽

Unscented Kalman Filter ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

Adaptive Unscented Kalman Filter ◽

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Just Another Attention Network for Remaining Useful Life Prediction of Rolling Element Bearings

IEEE Access ◽

10.1109/access.2020.3036726 ◽

2020 ◽

Vol 8 ◽

pp. 204144-204152

Author(s):

Gangjin Huang ◽

Shungang Hua ◽

Qiang Zhou ◽

Hongkun Li ◽

Yuanliang Zhang

Keyword(s):

Life Prediction ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Attention Network ◽

Rolling Element ◽

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Remaining useful life prediction of rolling element bearings based on simulated performance degradation dictionary

Mechanism and Machine Theory ◽

10.1016/j.mechmachtheory.2020.103967 ◽

2020 ◽

Vol 153 ◽

pp. 103967 ◽

Author(s):

Lingli Cui ◽

Xin Wang ◽

Huaqing Wang ◽

Hong Jiang

Keyword(s):

Life Prediction ◽

Performance Degradation ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Simulated Performance ◽

Rolling Element ◽

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A novel deep learning scheme for multi-condition remaining useful life prediction of rolling element bearings

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2021.10.004 ◽

2021 ◽

Vol 61 ◽

pp. 450-460

Author(s):

Bingxi Zhao ◽

Qi Yuan

Keyword(s):

Deep Learning ◽

Life Prediction ◽

Remaining Useful Life ◽

Rolling Element Bearings ◽

Learning Scheme ◽

Rolling Element ◽

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