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Reliability evaluation for multi-state repairable systems with hybridization the markov stochastic process and the universal generating function

Mohamed Amara, Abdelkader Zeblah, Mohamed Mostefai

Przegląd Elektrotechniczny

2021

R. 97, nr 1

109--114

Multistate reliability models are generally complicated and the state space has a large number of states. Evaluating the performance distribution of complex series parallel to the repairable multi-state system with dependent linear components. They are much more complex and present major difficulties in defining the system and the performance of the MSS multistate reliability assessment system. A new approach is introduced to extend the classical theory of reliability based on the binary hypothesis to the repairable multi-state system (MSS). Generally, some of the stochastic processes of traditional methods did not provide an assessment of the reliability of the MSS system due to the enormous states of the system. This article is based on the hybridization of the Markov stochastic process and the universal generation function technology (UGF) which deals with the most sophisticated and realistic models ranging from perfect operation to complete failure in which components and systems can take many states. We consider the case where the performance and probability distributions of certain components depend on the linear of another component or group of components.

Zaprezentowano nowa metodę rozszerzająca klasyczną teorię niezawodności bazującą na hipotezie naprawialnych systemów wielostanowych MSS. Artykuł bazuje na hybrydyzacji stochastycznego procesu Markova i technologii uniwersalnej funkcji UGF. Rozważono przypadek kiedy gęstość prawdopodobieństwa pewnych składowych zależy liniowo od innych składowych.

Optimal allocation of the electrical structure design using the bats approach

Chaker Abdelkader, Benaissa Abdelkader, Zablah Abdelkader, Belfedhal Alaa Eddine

Przegląd Elektrotechniczny

2020

R. 96, nr 6

98--102

In this paper we describe and use a meta-heuristic optimization method is the algorithm of bats to be able to solve the problem of optimizing redundancy. This problem is known because we will strive to reduce the investment cost of the serial-parallel power system configuration through the algorithm, not to mention to maximize reliability and this is one of the constraints. Redundant components are included to achieve the desired level of availability, and service continuity. The maintainability of the system is based on a multi-state availability function. The elements of the power system are characterized by their performance, reliability, and availability and cost. These elements are chosen from a list of products available on the market. The meta-heuristic proposed seeks the best solution for a better configuration for our structure, which composes the system to be able to minimize the cost with the desired maximum reliability. To estimate the availability of the serial-parallel power system, a fast method based on the universal moment generation (UMGF) function is suggested. The algorithm approach of bats is used as an optimization technique. One gives an example of a power supply system for present simulation

Opisano I zastosowano meta heurystyczną metodę optymalizacji problemu redundancji. Optymalizacja ma na celu redukcję kosztów szeregowo-równoległego systemu dystrybucyjnego. Elementy systemu były opisywane przez ich właściwości, niezawodność i dostępność.