✨
AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The behaviour of systems with respect to degradation rates is also investigated in terms of stochastic ordering.
📌 3 Key Takeaways
🎯
Objective & Hypothesis:In this paper we study multi-state systems consisting of two components when the number of system states and the number of states of each component are the same, i.e. the systems under consideration are homogeneous multi-state systems.
📊
Key Findings & Data:In particular we evaluate multi-state series and cold standby systems assuming that the degradation in their components follow a Markov process.
💡
Conclusion & Impact:The behaviour of systems with respect to degradation rates is also investigated in terms of stochastic ordering.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Failure rate · Mean residual life · Reliability
Abstract
In this paper we study multi-state systems consisting of two components when the number of system states and the number of states of each component are the same, i.e. the systems under consideration are homogeneous multi-state systems. In particular we evaluate multi-state series and cold standby systems assuming that the degradation in their components follow a Markov process. The behaviour of systems with respect to degradation rates is also investigated in terms of stochastic ordering.
Keywords
🔖
Cite This Article
Eryilmaz, S. (2011). DYNAMIC RELIABILITY AND PERFORMANCE EVALUATION OF MULTI-STATE SYSTEMS WITH TWO COMPONENTS. Hacettepe Journal of Mathematics and Statistics, Volume: 40 Issue: 1. https://ajindex.com/articles/1403672