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Some recent developments on failure processes with masked failure data

Wu, Shaomin (2021) Some recent developments on failure processes with masked failure data. In: 11th IMA International Conference on Modelling in Industrial Maintenance and Reliability. . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:88961)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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Abstract

The starting point for the optimisation of a maintenance policy for a physical system is usually in possession of the failure process for this system. Such a failure process is normally a stochastic process that models time between failures and that should be estimated based on failure data collected either from the lab or from the field. Field data are often noisy. For example, for a multi-component series system, times between failures are recorded but which components causes the system to fail may be missing. Namely, only masked failure data are available. In this case, we need to estimate a failure process from the aggregate, masked failure data. This paper reviews three recently developed methods on modelling the failure process with masked failure data.

Item Type: Conference or workshop item (Speech)
Uncontrolled keywords: failure process, masked failure data, superposition of renewal processes
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 01 Jul 2021 13:12 UTC
Last Modified: 02 Jul 2021 09:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/88961 (The current URI for this page, for reference purposes)
Wu, Shaomin: https://orcid.org/0000-0001-9786-3213
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