Autors: Tzvetkova, S. G., Klaassens B.
Title: Preventive Maintenance for Industrial Application
Keywords: preventive maintenance, reliability, maintainability, distri

Abstract: Preventive maintenance procedures are scheduled actions carried out to either minimize the chance of a failure or to improve the reliability of the system. In many cases, the failure rate is increasing with time, so preventive maintenance restores the system to a state with a lower failure rate. The question is how often preventive maintenance should be scheduled. This paper is presents an algorithm to determine the probability density functions of time-to-failure and recovery time and the reliability and maintainability functions of electrical equipment. In order to schedule preventive maintenance the following preventive maintenance models are discussed: a constant interval replacement/repair model and a replacement/repair at predetermined age model. Depending on the type of electrical equipment - its complexity, its function in the production process, a cost minimization criterion or downtime minimization criterion is used.

References

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Issue

6th IFAC Symposium on Cost Oriented Automation (Low Cost Automation 2001), pp. 3-8, 2001, Germany, Elsevier Ltd., ISSN 0962-9505

Copyright Elsevier Ltd.

Full text of the publication

Цитирания (Citation/s):
1. Lozanov Y., Reliability assessment of variable speed induction motor drive with fault tree analysis, 2020 21st International Symposium on Electrical Apparatus and Technologies, SIELA 2020, Bourgas, Bulgaria; 3-6 June 2020, DOI: 10.1109/SIELA49118.2020.9167095, ISBN: 978-172814346-0. - 2020 - в издания, индексирани в Scopus или Web of Science
2. Lozanov, Y., Optimization of algorithms for diagnostics of electrical systems, 2020 12th Electrical Engineering Faculty Conference, BulEF 2020, Varna, Bulgaria, 9-12 September 2020, DOI: 10.1109/BulEF51036.2020.9326088, ISBN: 978-172819439-4. - 2020 - в издания, индексирани в Scopus или Web of Science
3. D'Urso, D., Sinatra, A., Compagno, L., Chiacchio, F., Assessment of the optimal preventive maintenance period using stochastic hybrid modelling, Procedia Computer Science, Volume 200, pp. 1664 – 1673, 2022, 3rd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2021, Linz, 19 November 2021 through 21 November 2021, DOI: 10.1016/j.procs.2022.01.367, ISSN: 18770509. - 2022 - в издания, индексирани в Scopus или Web of Science

Вид: публикация в международен форум, публикация в реферирано издание