Lubricating oil deterioration modeling and remaining useful life prediction based on hidden semi-Markov modeling

Dynamic Bayesian monitoring and detection for partially observable machines under multivariate observations

(2021) Chaoqun Duan   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life prediction of rolling bearing using fractal theory

(2020) Zong Meng et al.   MEASUREMENT

Intelligent fault identification of rotary machinery using refined composite multi-scale Lempel–Ziv complexity

(2020) Yongbo Li et al.   JOURNAL OF MANUFACTURING SYSTEMS

Prognostics of Health Measures for Machines With Aging and Dynamic Cumulative Damage

(2020) Chaoqun Duan et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

The gearbox wears state monitoring and evaluation based on on-line wear debris features

(2019) Wei Cao et al.   WEAR

Dynamic characteristics of cracked uncertain hollow-shaft

(2019) Yang Yongfeng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Remaining useful life prediction of lubricating oil with dynamic principal component analysis and proportional hazards model

(2019) Ying Du et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY

A hybrid model for wear prediction of a single revolute joint considering a time-varying lubrication condition

(2019) Xinchen Zhuang et al.   WEAR

Tooth wear prediction of crowned helical gears in point contact

(2019) Hongbing Wang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY

Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study

(2019) Yongbo Li et al.   IEEE TRANSACTIONS ON RELIABILITY

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

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

Optimal Bayesian early fault detection for CNC equipment using hidden semi-Markov process

(2018) Chaoqun Duan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Performance of lubricating oils for wind turbine gear boxes and bearings

(2017) Christoph Burkhart et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY

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

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

Parameter estimation and remaining useful life prediction of lubricating oil with HMM

(2017) Ying Du et al.   WEAR

Investigation on on-line monitoring method for lubricating oil deterioration

(2017) Ying Du et al.   Mechanics & Industry

Online particle-contaminated lubrication oil condition monitoring and remaining useful life prediction for wind turbines

(2014) Junda Zhu et al.   WIND ENERGY

Parameter estimation for partially observable systems subject to random failure

(2012) Michael Jong Kim et al.   APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY

An overview of time-based and condition-based maintenance in industrial application

(2012) Rosmaini Ahmad et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models

(2012) Diego Alejandro Tobon-Mejia et al.   IEEE TRANSACTIONS ON RELIABILITY

Maximum Likelihood Estimation for a Hidden Semi-Markov Model with Multivariate Observations

(2012) Rui Jiang et al.   QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

An adaptive procedure for tool life prediction in face milling

(2011) D D Zhang   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY

Multivariate Bayesian Control Chart

(2008) Viliam Makis   OPERATIONS RESEARCH