Multiple degradation mode analysis via gated recurrent unit mode recognizer and life predictors for complex equipment

Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process

(2019) Jinglong Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Editorial - Impact of Prognostics and Health Management in Systems Reliability and Maintenance Planning

(2019) Joo-Ho Choi et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

An improved Wiener process model with adaptive drift and diffusion for online remaining useful life prediction

(2019) Han Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Transfer between multiple working conditions: A new TCCHC-based exponential semi-deterministic extended Kalman filter for bearing remaining useful life prediction

(2019) Fei Shen et al.   MEASUREMENT

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel prediction method based on the support vector regression for the remaining useful life of lithium-ion batteries

(2018) Qi Zhao et al.   MICROELECTRONICS RELIABILITY

Quantum weighted gated recurrent unit neural network and its application in performance degradation trend prediction of rotating machinery

(2018) Wang Xiang et al.   NEUROCOMPUTING

Remaining useful life estimation of engineered systems using vanilla LSTM neural networks

(2018) Yuting Wu et al.   NEUROCOMPUTING

Remaining useful life estimation in aeronautics: Combining data-driven and Kalman filtering

(2018) Marcia Baptista et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Remaining useful life prediction for engineering systems under dynamic operational conditions: A semi-Markov decision process-based approach

(2018) Diyin TANG et al.   Chinese Journal of Aeronautics

A hybrid model based on support vector regression and differential evolution for remaining useful lifetime prediction of lithium-ion batteries

(2018) Fu-Kwun Wang et al.   JOURNAL OF POWER SOURCES

Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks

(2018) Jiawei Liu et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Reliability assessment of wind turbine bearing based on the degradation-Hidden-Markov model

(2018) Jianlan Li et al.   RENEWABLE ENERGY

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

(2018) Lingli Cui et al.   MEASUREMENT

Multi-scale Dense Gate Recurrent Unit Networks for bearing remaining useful life prediction

(2018) Lei Ren et al.   Future Generation Computer Systems-The International Journal of eScience

Hyper-parameter optimization based nonlinear multistate deterioration modeling for deterioration level assessment and remaining useful life prognostics

(2017) Gaige Chen et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Soft sensing of magnetic bearing system based on support vector regression and extended Kalman filter

(2014) Zhe Sun et al.   MECHATRONICS

An integrated framework for online diagnostic and prognostic health monitoring using a multistate deterioration process

(2013) Ramin Moghaddass et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A dynamic multi-scale Markov model based methodology for remaining life prediction

(2010) Jihong Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING