The structures of power systems and their capacity have been updated significantly from time to time. Therefore, a reliability analysis is an essential issue in the planning, designing, operation electric systems. Thus, number methods proposed. These are grouped as analytical based methods, simulation-based hybrid methods. Some like Monte Carlo, Markov etc., developed some indices such interrup...

Reliability is the ability of a part or product to perform as intended (i.e., without failure and within specified performance limits) for a specified time, in its life cycle application environment. Reliability specification and demonstration is an activity between customers and suppliers. In the absence of proper procedure, this activity may not meet the customer requirements and product need...

Within the DFR concept, the methodology of Design of Experiments (DOE) can be applied in the design and manufacturing stages to improve product reliability. It can be used to systematically investigate the variables (factors) that influence the life of the product, thereby providing the analyst with information that can be used to improve reliability. The analysis can also be used in the produc...

This paper reviews the application of human reliability analysis methods to human factors design issues. An application framework is sketched in which aspects of modeling typically found in human reliability analysis are used in a complementary fashion to the existing human factors phases of design and testing. The paper provides best achievable practices for design, testing, and modeling. Such...

Conclusions This paper compares three numerical methods for reliability calculation of Markov, closed, fault-tolerant systems which give rise to continuous-time, timehomogeneous, finite-state, acyclic Markov chains. We consider a modified version of Jensen’s method (a probabilistic method, also known as uniformization or randomization), a new version of ACE (Acyclic Markov Chain Evaluator) algo...