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Reliability modelling with redundancy-A case study of power generation engines in a wastewater treatment plant

机译:具有冗余的可靠性建模-以废水处理厂中的发电发动机为例

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摘要

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.
机译:发电机是澳大利亚和许多国家废水处理厂(WWTP)的重要资产。更好地管理使用寿命,最大程度地减少故障,提高可靠性和可用性,以及降低发电资产的运营和维护成本,仍然是自来水公司面临的挑战。此案例研究旨在开发考虑冗余以最小化运行和维护成本的发电系统可靠性和可用性模型。两参数Weibull模型用于评估污水处理厂中发电引擎的系统可靠性和可用性。使用Kaplan-Meier方法(一种时间驱动的估计技术)和log beta-Weibull模型(适用于对经过审查和未经审查的数据进行建模)来分析和验证建模结果。通过使用非线性优化最大化对数似然函数来估计Weibull模型的形状和比例参数。风险和可靠性函数是使用Weibull模型计算的。使用两参数的Weibull,Kaplan-Meier和log beta-Weibull模型的结果显示,随着时间的流逝,可靠性低,危险率高,这与由于次优的启动和停止操作策略导致的火花塞故障有关。

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