A dual-LSTM framework combining change point detection and remaining useful life prediction

Joint Learning of Degradation Assessment and RUL Prediction for Aeroengines via Dual-Task Deep LSTM Networks

(2019) Huihui Miao et al.   IEEE Transactions on Industrial Informatics

Sensor Fusion via Statistical Hypothesis Testing for Prognosis and Degradation Analysis

(2019) Abdallah Chehade et al.   IEEE Transactions on Automation Science and Engineering

Long short-term memory for machine remaining life prediction

(2018) Jianjing Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

A data-level fusion approach for degradation modeling and prognostic analysis under multiple failure modes

(2018) Abdallah Chehade et al.   JOURNAL OF QUALITY TECHNOLOGY

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

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

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

(2018) Yuting Wu et al.   NEUROCOMPUTING

A hybrid ARIMA–SVM model for the study of the remaining useful life of aircraft engines

(2018) Celestino Ordóñez et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Bidirectional handshaking LSTM for remaining useful life prediction

(2018) Ahmed Elsheikh et al.   NEUROCOMPUTING

Optimize the Signal Quality of the Composite Health  Index via Data Fusion for Degradation Modeling  and Prognostic Analysis

(2017) Kaibo Liu et al.   IEEE Transactions on Automation Science and Engineering

Sensory-Based Failure Threshold Estimation for Remaining Useful Life Prediction

(2017) Abdallah Chehade et al.   IEEE TRANSACTIONS ON RELIABILITY

The use of real option in condition-based maintenance scheduling for wind turbines with production and deterioration uncertainties

(2017) Houda Ghamlouch et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

A review on condition-based maintenance optimization models for stochastically deteriorating system

(2017) Suzan Alaswad et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Integration of Data Fusion Methodology and Degradation Modeling Process to Improve Prognostics

(2016) Kaibo Liu et al.   IEEE Transactions on Automation Science and Engineering

A Wiener-process-based degradation model with a recursive filter algorithm for remaining useful life estimation

(2012) Xiao-Sheng Si et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

CHMM for tool condition monitoring and remaining useful life prediction

(2011) Mei Wang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Remaining useful life estimation – A review on the statistical data driven approaches

(2010) Xiao-Sheng Si et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

A Novel Connectionist System for Unconstrained Handwriting Recognition

(2009) A. Graves et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE