A Dynamic Methodology for Setting Up Inspection Time Intervals in Conditional Preventive Maintenance
Source abstract
Abstract
In periodic condition monitoring, the main problem lies in determining the inspection time intervals. This paper presents a new method for setting an optimum calendar to inspect a critical component that fails due to wear and tear as described by a Weibull probability function. By considering a set of inspection intervals, such that reliability between every two inspections is kept equal or below a pre-set threshold while keeping the total costs of inspection, degraded production, consequences of failure, and repair to a minimum. The resulting calendar may be adjusted dynamically over time as inspections take place and test results are found to be negative, by considering the inspector’s confidence in the test and the likelihood of the method’s yielding false negatives. Consequently, the method becomes self-adjustable as it returns a new calendar after the observations of each test are known and properly interpreted. There are several studies that deal with this issue, but none addresses the concept of safe and unsafe time windows which results from merging two other concepts: descendant inspection time intervals and the time delay between a potential failure and a functional failure (the P–F period).
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Reliability and Maintenance Optimization · Quality and Safety in Healthcare · Infrastructure Maintenance and Monitoring
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
EIGeS—Research Centre in Industrial Engineering, Management and Sustainability, Lusófona University, Campo Grande 376, 1749-024 Lisbon, Portugal
ISEL, Polytechnic Institute of Lisbon, 1959-007 Lisbon, Portugal
References (19)
Show source-provided references
1. Dieulle, L., Berenguer, C., Grall, A., and Roussignol, M. (2001, January 22–25). Continuous time predictive maintenance scheduling for a deteriorating system. Proceedings of the Annual Reliability and Maintainability Symposium, Philadelphia, PA, USA.
2. Joint optimal periodic and conditional maintenance strategy10.1108/13552510510601311 ↗
3. Maintenance management: Literature review and directions10.1108/13552510610685075 ↗
4. Modelling Condition-Based Maintenance to Deliver a Service to Machine Tool Users10.1007/s00170-010-2760-x ↗
5. An overview of time-based and condition-based maintenance in industrial application10.1016/j.cie.2012.02.002 ↗
6. Elsayed, A. (1996). Reliability Engineering, Addison Wesley Longman.
7. Moubray, J. (1997). Reliability-Centered Maintenance, Industrial Press. [2nd ed.].
8. An inspection model for a process with two types of inspections and repairs10.1016/j.ress.2008.06.010 ↗
9. Optimal non-periodic inspection for a multivariate degradation model10.1016/j.ress.2007.03.015 ↗
10. Reliability modeling of multi-state degraded systems with multi-competing failures and random shocks10.1109/TR.2005.847278 ↗
11. Optimal inspection frequency—A tool for maintenance planning/forecasting10.1108/02656710410549109 ↗
12. Probabilistic modeling of inspection results for offshore structures10.1016/S0167-4730(03)00016-X ↗
13. Optimal inspection and preventive maintenance of units with revealed and unrevealed failures10.1016/S0951-8320(02)00154-0 ↗
14. An optimal inspection and diagnosis policy for a multi-mode system10.1016/S0951-8320(02)00003-0 ↗
15. A reliability centered optimal visual inspection model for distribution feeders10.1109/61.956761 ↗
16. Optimum inspection frequency for manufacturing systems10.1108/02656719810209437 ↗
17. Towards a general condition-based maintenance model for a stochastic dynamic system10.1057/palgrave.jors.2600863 ↗
18. Modelling condition monitoring intervals: A hybrid of simulation and analytical approaches10.1057/palgrave.jors.2601508 ↗
19. A review on maintenance optimization10.1016/j.ejor.2019.09.047 ↗