Article contents
A CUMULATIVE RESIDUAL INACCURACY MEASURE FOR COHERENT SYSTEMS AT COMPONENT LEVEL AND UNDER NONHOMOGENEOUS POISSON PROCESSES
Published online by Cambridge University Press: 11 December 2020
Abstract
Inaccuracy and information measures based on cumulative residual entropy are quite useful and have attracted considerable attention in many fields including reliability theory. Using a point process martingale approach and a compensator version of Kumar and Taneja's generalized inaccuracy measure of two nonnegative continuous random variables, we define here an inaccuracy measure between two coherent systems when the lifetimes of their common components are observed. We then extend the results to the situation when the components in the systems are subject to failure according to a double stochastic Poisson process.
Keywords
- Type
- Research Article
- Information
- Probability in the Engineering and Informational Sciences , Volume 36 , Issue 2 , April 2022 , pp. 294 - 319
- Copyright
- Copyright © The Author(s), 2020. Published by Cambridge University Press
References
- 5
- Cited by