A joint classification-regression method for multi-stage remaining useful life prediction

Anomaly monitoring improves remaining useful life estimation of industrial machinery

(2020) Gurkan Aydemir et al.   JOURNAL OF MANUFACTURING SYSTEMS

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction

(2020) Mohamed Ragab et al.   IEEE Transactions on Industrial Informatics

Proactive maintenance scheduling in consideration of imperfect repairs and production wait time

(2019) Tianyi Wu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks

(2019) Longting Chen et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Long short-term memory for machine remaining life prediction

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

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

(2018) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Direct Remaining Useful Life Estimation Based on Support Vector Regression

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

Multi-bearing remaining useful life collaborative prediction: A deep learning approach

(2017) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Anomaly Detection and Fault Prognosis for Bearings

(2016) Xiaohang Jin et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Model-Based Method for Remaining Useful Life Prediction of Machinery

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON RELIABILITY

A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation

(2015) Meru A. Patil et al.   APPLIED ENERGY

Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings

(2015) Rodney K. Singleton et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Prediction of Rolling Bearings Using an Enhanced Particle Filter

(2015) Yuning Qian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression

(2015) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Adaptive resampling-based particle filtering for tool life prediction

(2015) Peng Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Enhanced particle filter for tool wear prediction

(2015) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Robust prognostics for state of health estimation of lithium-ion batteries based on an improved PSO–SVR model

(2015) Taichun Qin et al.   MICROELECTRONICS RELIABILITY

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

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

Bearing Degradation Evaluation Using Recurrence Quantification Analysis and Kalman Filter

(2014) Yuning Qian et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

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

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

Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter

(2014) Hancheng Dong et al.   JOURNAL OF POWER SOURCES

Prognosis of Bearing Failures Using Hidden Markov Models and the Adaptive Neuro-Fuzzy Inference System

(2013) Abdenour Soualhi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Remaining Useful Life Estimation in Rolling Bearings Utilizing Data-Driven Probabilistic E-Support Vectors Regression

(2013) Theodoros H. Loutas et al.   IEEE TRANSACTIONS ON RELIABILITY

Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries

(2012) Marcos E. Orchard et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Extended Kalman Filter Models and Resistance Spectroscopy for Prognostication and Health Monitoring of Leadfree Electronics Under Vibration

(2012) P. Lall et al.   IEEE TRANSACTIONS ON RELIABILITY

Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

(2012) Qiang Miao et al.   MICROELECTRONICS RELIABILITY

Joint Prediction of Continuous and Discrete States in Time-Series Based on Belief Functions

(2012) Emmanuel Ramasso et al.   IEEE Transactions on Cybernetics

Bearing fault prognosis based on health state probability estimation

(2011) Hack-Eun Kim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prognosis of Gear Failures in DC Starter Motors Using Hidden Markov Models

(2010) Syed Sajjad H. Zaidi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Residual Life Predictions in the Absence of Prior Degradation Knowledge

(2009) N. Gebraeel et al.   IEEE TRANSACTIONS ON RELIABILITY