Reliability Assessment of Degradable Systems under Imperfect Maintenance and Utilisation Rate: A Case Study

Author:

Mahfoud Hassana1,El Barkany Abdellah1,El Biyaali Ahmed1

Affiliation:

1. Sidi Mohammed Ben Abdellah University

Abstract

Medical equipment is the biggest capital investment of every healthcare industry and ensuring the reliability and maintenance for critical devices is vital for Patient/user safety and better availability of services. To keep the medical device in a good operational condition, Inspection based maintenance activities have been the most usual means. The purpose of this study is to establish an improved delay time framework to model the two-stage failure process taking into account the influence of the utilization rate on the system’s degradation on the assumption of imperfect maintenance at inspection. This proportional delay time model is seldom considered in DTMs widely used in literature. A complete framework, for Parameters estimation method and the test for goodness of fit is given. To illustrate the model capabilities, a reel case study from the healthcare domain is presented, the model parameters are estimated entirely using the collected maintenance data. Then, the maximum likelihood estimation of the reliability parameters is achieved by Genetic Algorithms.

Publisher

Trans Tech Publications, Ltd.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Failure Analysis Method Based on the Combination of FTA and GGRA: A Case Study on an Engine;International Journal of Engineering Research in Africa;2021-03

2. Delay-Time-Based Maintenance Modeling for Technical Systems—Theory and Practice;Advances in System Reliability Engineering;2019

3. Delay-Time Maintenance Models for Technical Systems;Springer Series in Reliability Engineering;2019

4. Dependability-based maintenance optimization in healthcare domain;Journal of Quality in Maintenance Engineering;2018-05-14

5. An Enhanced Delay Time Model to Support Evidence Based Maintenance in Healthcare Domain;Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016;2017-08-18

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