Remaining useful life prediction using the similarity-based integrations of multi-sensors data

A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction

(2021) Song Fu et al.   IEEE Transactions on Neural Networks and Learning Systems

A review of prognostics and health management of machine tools

(2020) Marco Baur et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Remaining useful life (RUL) estimation of electronic solder joints in rugged environment under random vibration

(2020) Noor Muhammad et al.   MICROELECTRONICS RELIABILITY

A remaining useful life prediction method with long-short term feature processing for aircraft engines

(2020) Kunyuan Deng et al.   APPLIED SOFT COMPUTING

An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme

(2020) Wennian Yu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Similarity-based Particle Filter for Remaining Useful Life prediction with enhanced performance

(2020) Haoshu Cai et al.   APPLIED SOFT COMPUTING

Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo

(2020) Maximilian Benker et al.   JOURNAL OF MANUFACTURING SYSTEMS

An indirect RUL prognosis for lithium-ion battery under vibration stress using Elman neural network

(2019) Wenhua Li et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

Remaining useful life estimation using a bidirectional recurrent neural network based autoencoder scheme

(2019) Wennian Yu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Railway turnout system RUL prediction based on feature fusion and genetic programming

(2019) Cong Chen 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 neural network filtering approach for similarity-based remaining useful life estimation

(2018) Oguz Bektas et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Direct Remaining Useful Life Estimation Based on Support Vector Regression

(2017) Racha Khelif et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels

(2017) Kamran Javed et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A literature review on planning and analysis of accelerated testing for reliability assessment

(2017) Shah Limon et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering

(2015) Kamran Javed et al.   IEEE Transactions on Cybernetics

Development of an optimal method for remanufacturing process plan selection

(2014) Zhigang Jiang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

(2014) A. Mosallam et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Data-Level Fusion Model for Developing Composite Health Indices for Degradation Modeling and Prognostic Analysis

(2013) Kaibo Liu et al.   IEEE Transactions on Automation Science and Engineering

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

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

E2GKpro: An evidential evolving multi-modeling approach for system behavior prediction with applications

(2012) Lisa Serir et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wind turbine performance assessment using multi-regime modeling approach

(2012) Edzel Lapira et al.   RENEWABLE ENERGY

Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance

(2011) Jianzhong Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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

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

Intelligent condition monitoring and prognostics system based on data-fusion strategy

(2010) Gang Niu et al.   EXPERT SYSTEMS WITH APPLICATIONS

A prognostics and health management roadmap for information and electronics-rich systems

(2010) Michael Pecht et al.   MICROELECTRONICS RELIABILITY

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS

Dempster–Shafer regression for multi-step-ahead time-series prediction towards data-driven machinery prognosis

(2008) Gang Niu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING