Abstract
Wiener process and Gamma process are widely used in the fields of degradation modeling and residual life prediction.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wang X, Xu D (2010) An inverse Gaussian process model for degradation data. Technometrics 52(2):188–197
Xu W, Wang W (2013) RUL estimation using an adaptive inverse Gaussian model. Chem Eng Trans 33:331–336
Li M, Changhua Hu, Zhou Z et al (2015) A degradation modeling method based on inverse gaussian process and evidential reasoning. Electron Opt Control 22(1):92–96
Li M (2014) Research on remaining life prediction and maintenance decision method based on inverse gaussian process. Rocket Force University of Engineering, Xi’an
Ye ZS, Chen N (2014) The inverse Gaussian process as a degradation model. Technometrics 56(3):302–311
Yang JB, Sing MG (1994) An evidential reasoning approach for multiple attribute decision making with uncertainty. IEEE Trans Syst Man Cybern A 24:1–18
Yang JB, Xu DL (2002) Nonlinear information aggregation via evidential reasoning in multiattribute decision analysis under uncertainty. IEEE Trans Syst Man Cybern A 32:376–393
Changhua Hu, Si X (2010) Real-time parameters estimation of inertial platform’s health condition based on reliability rule base. Acta Aeronautica ET Astronautica Sinica 7:1454–1465
Si XS, Wang WB, Chen MY et al (2012) A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution. Eur J Oper Res 226(1):53–66
Lian J (2006) Application of EM algorithm and its improvement in estimation of hybrid model parameter. Xi'an, Chang'an University
Wen J, Luo S, Zhao J et al (2001) The BEM algorithm: an EM method based on bayesian. Comput Res Develop 7:821–825
Peng B (2010) Research on reliability modeling method based on wiener process. National University of Defense Technology, Changsha
Zhou Z, Yang J (2011) Modeling of expert system and complex system of belief rule base. Science Press, Beijing
Zhang S, Li W, Ding K (2009) A novel approach to evidence combination based on the evidence credibility. Control Theory Appl 26(7):812–814
Gertsbackh IB, Kordonskiy KB (1969) Models of failure. Springer, New York, USA
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2022 National Defense Industry Press
About this chapter
Cite this chapter
Hu, C., Fan, H., Wang, Z. (2022). Inverse Gaussian Process-Based Degradation Modeling and Residual Life Prediction. In: Residual Life Prediction and Optimal Maintenance Decision for a Piece of Equipment. Springer, Singapore. https://doi.org/10.1007/978-981-16-2267-0_5
Download citation
DOI: https://doi.org/10.1007/978-981-16-2267-0_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2266-3
Online ISBN: 978-981-16-2267-0
eBook Packages: EngineeringEngineering (R0)