Discrete Time Reliability with Matrix-Geometric Algorithms

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Updated 7 Aug 2024

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Time-dependent reliability computation of system with multistate components,
Authors
Yusuf Bilfaqih, bilfaqih@ee.its.ac.id
Mochamad Nur Qomarudin, mochamadnurq@gmail.com
Mochammad Sahal, sahal@ee.its.ac.id
Laboratory of Systems and Cybernetics, Department of Electrical Engineering,
Institut Teknologi Sepuluh Nopember (ITS), Surabaya, 60111, Indonesia
published in: Applied Mathematics and Computation
Abstract
System reliability analysis in discrete phase-type (DPH) distributions requires longer computation time as the matrix order increases with the number of components and the complexity of the system structure. This paper presents a method to reduce the computation time by performing a similarity transformation on the DPH distribution model of the component lifetimes. Similarity transformation produces a matrix-geometric (MG) distribution whose generator matrix is in Jordan canonical form with fewer non-zero elements, so the computation time is faster. We modified the algorithms for system reliability in DPH distributions to make them applicable to MG distributions. Our experiments using several Jordan canonical forms show significant reductions in computation times.
Keywords
Jordan canonical form, matrix-geometric distribution, system reliability computation, similarity transformation, system with multistate component.

Cite As

mochamad nur qomarudin (2026). Discrete Time Reliability with Matrix-Geometric Algorithms (https://uk.mathworks.com/matlabcentral/fileexchange/171034-discrete-time-reliability-with-matrix-geometric-algorithms), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
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dphmgcomputation

dphmgcomputation/libcont

dphmgcomputation/libdisc

Version Published Release Notes
1.0.0