A customer’s utility measure based on the reliability of multi-state systems

Predicting the remaining useful life plays an important role in minimizing the overall maintenance cost of mechanical systems. Although most conventional reliability models deal with binary systems to perform such predictions, in most practical cases, mechanical systems experience multiple levels of degradation states before failure. When the degradation level associated with such a multistate deteriorating process is monitored only at fixed inspection points, extracted monitoring data are interval-censored. Interval censoring can influence both the parameter estimation (model training) and the calculation of principal reliability measures. This article studies the problem of parameter estimation and the development of principal prognostic-based reliability measures, including reliability function and mean residual life, for a multistate device under limited inspection capacity. The correctness of the introduced models is demonstrated through simulation-based numerical experiments. Finally, an example of the wear process of the shell of a bearing is used to demonstrate the application of the proposed models.

show abstract

Probabilistic model-checking based reliability analysis for failure correlation of multi-state systems

Wang

Tang

Gao

et al. 2020

Quality Engineering

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A customer’s utility measure based on the reliability of multi-state systems

Abstract: Preferences, Utility functions, Accumulated discounted utility, Non-homogeneous semi-Markov processes, Rewards processes, Backward processes, C44, E20,

Cited by 3 publications

References 16 publications

The role of health in consumption and portfolio decision-making: Insights from state-dependent models

The role of health in consumption and portfolio decision-making: Insights from state-dependent models

Predictive analytics using a nonhomogeneous semi-Markov model and inspection data

Probabilistic model-checking based reliability analysis for failure correlation of multi-state systems

Contact Info

Product

Resources

About