Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/126269
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Type: Journal article
Title: Reliability modelling with redundancy - A case study of power generation engines in a wastewater treatment plant
Author: Gorjian Jolfaei, N.
Jin, B.
van der Linden, L.
Gunawan, I.
Gorjian, N.
Citation: Quality and Reliability Engineering International, 2019; 36(2):784-796
Publisher: Wiley
Issue Date: 2019
ISSN: 0748-8017
1099-1638
Statement of
Responsibility: 
Neda Gorjian Jolfaei, Bo Jin, Leon van der Linden, Indra Gunawan, Nima Gorjian
Abstract: Power generators are critical assets in wastewater treatment plants (WWTPs) in Australia and many countries. Better managing the lifetime, minimising failures, improving reliability and availability, and reducing operating and maintenance costs of the power generation assets are still challenging topics for water utilities. This case study aims to develop power generation system reliability and availability modelling considering redundancy to minimise operation and maintenance costs. The two‐parameter Weibull model was used to assess system reliability and availability to power generation engines in WWTPs. The Kaplan‐Meier method (a time‐driven estimation technique) and the log beta‐Weibull model (which is suitable for modelling censored and uncensored data) were used to analyse and validate the modelling results. Shape and scale parameters of the Weibull models were estimated by maximising the log‐likelihood function using non‐linear optimisation. Hazard and reliability functions were calculated using the Weibull model. Results using two‐parameter Weibull, Kaplan‐Meier, and log beta‐Weibull models display low reliability and high hazard rate over time, which was associated with spark plug failure due to a suboptimal start and stop operation strategy.
Keywords: energy management; hazard function; Kaplan-Meier estimator; log beta-Weibull model; power generation engine; reliability; Weibull model
Description: First published: 24 November 2019
Rights: © 2019 John Wiley & Sons, Ltd.
RMID: 1000007912
DOI: 10.1002/qre.2573
Appears in Collections:Chemical Engineering publications

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