Journal
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume -, Issue -, Pages -Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2023.3277497
Keywords
Reliability; Load modeling; Analytical models; Degradation; Power transmission lines; Maintenance engineering; Resource management; Constrained performance; degradation process; dynamic load-sharing system (DLSS); extended Markov process (EMP); system reliability
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Considerable research efforts have been devoted to modeling load-sharing systems, but existing models have limitations in terms of time-to-failure distribution, component performances, and performance constraints. This article proposes a model for a dynamic load-sharing system (DLSS) that considers the dynamic performance of each component based on load-sharing principles and capacity constraints. The proposed model also considers increasing failure rates and the effects of component degradation. An extended Markov process (EMP) method is introduced for evaluating the reliability of the DLSS with nonrepairable components, which is flexible in handling different component time-to-failure distributions and load allocation mechanisms. Numerical studies and case studies are provided to validate the proposed method and investigate the effects of model parameters.
Considerable research efforts have been expended in modeling load-sharing systems. The existing models, however, have various limitations, such as being limited to the exponential time-to-failure distribution, constant component performances, or performances without constraints. In this article, we make contributions by modeling a dynamic load-sharing system (DLSS), where the performance of each component is dynamic according to prespecified load-sharing principles and is limited by its capacity constraint. Moreover, the capacity constraint of a component can reduce due to degradations. In the proposed model, increasing failure rates are also involved since the surviving components must share the load of the failed component and continue working with increasing stresses. When the desired performance for a component exceeds the limitation, the entire system fails. An extended Markov process (EMP) method is proposed for evaluating the reliability of the considered DLSS with nonrepairable components. The proposed analytical method is flexible in handling arbitrary component time-to-failure distributions and in handling diverse load allocation mechanisms. Numerical studies of a power transmission system and a water transmission system are provided to validate the proposed method and its advantages. Effects of several model parameters are also investigated through case studies.
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