Related references
Note: Only part of the references are listed.An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring
Zhigang Tian
JOURNAL OF INTELLIGENT MANUFACTURING (2012)
Progressive-Stress Accelerated Degradation Test for Highly-Reliable Products
Chien-Yu Peng et al.
IEEE TRANSACTIONS ON RELIABILITY (2010)
Joint Production and Spare Part Inventory Control Strategy Driven by Condition Based Maintenance
Mitchell Rausch et al.
IEEE TRANSACTIONS ON RELIABILITY (2010)
A neural network approach for remaining useful life prediction utilizing both failure and suspension histories
Zhigang Tian et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2010)
Residual Life Predictions in the Absence of Prior Degradation Knowledge
Nagi Gebraeel et al.
IEEE TRANSACTIONS ON RELIABILITY (2009)
Prognostic Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment
Nagi Gebraeel et al.
IEEE TRANSACTIONS ON RELIABILITY (2008)
Maintenance of continuously monitored degrading systems
Haitao Liao et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2006)
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Andrew K. S. Jardine et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)
Reliability inference for field conditions from accelerated degradation testing
Haitao Liao et al.
NAVAL RESEARCH LOGISTICS (2006)
Accelerated degradation models for failure based on geometric Brownian motion and gamma processes
C Park et al.
LIFETIME DATA ANALYSIS (2005)
Residual-life distributions from component degradation signals: A Bayesian approach
NZ Gebraeel et al.
IIE TRANSACTIONS (2005)
Residual life, predictions from vibration-based degradation signals: A neural network approach
N Gebraeel et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2004)
Reliability prediction and testing plan based on an accelerated degradation rate model
HT Liao et al.
INTERNATIONAL JOURNAL OF MATERIALS & PRODUCT TECHNOLOGY (2004)