Risk-Based Predictive Maintenance for Safety-Critical Systems by Using Probabilistic Inference
Risk-based maintenance (RBM) aims to improve maintenance planning and decision making by reducing the probability and consequences of failure of equipment. A new predictive maintenance strategy that integrates dynamic evolution model and risk assessment is proposed which can be used to calculate the...
Main Authors: | Tianhua Xu, Tao Tang, Haifeng Wang, Tangming Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2013-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/947104 |
Similar Items
-
Semantic Probabilistic Inference of Predictions
by: E. E. Vityaev
Published: (2017-08-01) -
Probabilistic Fuzzy Inference Systems in Time Series Prediction
by: 蘇伯達 -
Gap Measurement of Point Machine Using Adaptive Wavelet Threshold and Mathematical Morphology
by: Tianhua Xu, et al.
Published: (2016-11-01) -
Argument Schemes in Computer System Safety Engineering
by: Tangming Yuan, et al.
Published: (2011-07-01) -
Probabilistic Inference for Dynamical Systems
by: Sergio Davis, et al.
Published: (2018-09-01)