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

Nuclear power plant components condition monitoring by probabilistic support vector machine

(2013) Jie Liu et al.   ANNALS OF NUCLEAR ENERGY

Health assessment and life prediction of cutting tools based on support vector regression

(2013) T. Benkedjouh et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Model-based and data-driven prognostics under different available information

(2013) Piero Baraldi et al.   PROBABILISTIC ENGINEERING MECHANICS

An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems

(2012) Chaochao Chen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Remaining Useful Life Estimation of Critical Components With Application to Bearings

(2012) Kamal Medjaher et al.   IEEE TRANSACTIONS ON RELIABILITY

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

Combining Relevance Vector Machines and exponential regression for bearing residual life estimation

(2012) Francesco Di Maio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Machine health prognostics using survival probability and support vector machine

(2011) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Machine remaining useful life prediction: An integrated adaptive neuro-fuzzy and high-order particle filtering approach

(2011) Chaochao Chen 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

Prognostic modelling options for remaining useful life estimation by industry

(2010) J.Z. Sikorska et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery

(2010) T.H. Loutas et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A prognosis method using age-dependent hidden semi-Markov model for equipment health prediction

(2010) Ying Peng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Condition monitoring of a single-stage gearbox with artificially induced gear cracks utilizing on-line vibration and acoustic emission measurements

(2009) T.H. Loutas et al.   APPLIED ACOUSTICS

Residual Life Predictions in the Absence of Prior Degradation Knowledge

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

Predictive Maintenance Management Using Sensor-Based Degradation Models

(2009) K.A. Kaiser et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring

(2009) Zhigang Tian   JOURNAL OF INTELLIGENT MANUFACTURING

Rotating machinery prognostics: State of the art, challenges and opportunities

(2008) Aiwina Heng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING