Some extended geometric processes and their estimation methods

Yin, Jiaqi, Wu, Shaomin (2022) Some extended geometric processes and their estimation methods. In: The 4th International Conference on System Reliability and Safety Engineering (SRSE 2022), 15-18 December, 2022, Guangzhou, Guangdong, China. (In press) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:99192)

PDF Author's Accepted Manuscript Language: English Restricted to Repository staff only This work is licensed under a Creative Commons Attribution 4.0 International License.
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Abstract

Modelling the failure process of a system is one of the most important problems in the reliability and maintenance research community. The geometric process (GP) is widely used for modelling the failure process because it can describe the phenomenon that the working times after repairs become shorter and shorter. This article reviews the geometric process and its extensions based on existing research. It also reviews relevant methods for estimating parameters, model performances, and widely used distributions for times to first failures. Future challenges for the GP-like processes will be discussed.

Item Type:	Conference or workshop item (Paper)
Uncontrolled keywords:	Geometric process, Reliability, Stochastic process, Parameter estimations, Model performance
Subjects:	H Social Sciences > HA Statistics > HA33 Management Science
Divisions:	Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders:	University of Kent (https://ror.org/00xkeyj56)
Depositing User:	Shaomin Wu
Date Deposited:	21 Dec 2022 18:24 UTC
Last Modified:	06 Jan 2023 16:02 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/99192 (The current URI for this page, for reference purposes)
Wu, Shaomin:	https://orcid.org/0000-0001-9786-3213

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