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Research Article
Sep 8, 2022

A Framework for In-Service Life Extension of Hydroelectric Generation Assets

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 8, Issue 4

Abstract

The integrity assessment of aged or worn out large electromechanical equipment units, such as in hydroelectric generators, for possible life extension has been identified as a growing challenge in the electrical power generation industry worldwide. Although the available recommended practices provide a general assessment process, it is necessary to have more detailed guidelines. This can be achieved by adding relevant theories and models which can capture time-dependent equipment unit degradation more precisely. Seeking to fulfill this gap, this work aims to present a framework that combines several techniques of data analysis, reliability, and decision-making to support engineers, operators, and managers in the often-complex decision process, regarding whether or not to extend the time in service of an equipment or system, thus postponing the moment of a scheduled maintenance shutdown. To demonstrate the application of the proposed framework, a case study is presented considering simulated scenarios based on data and information from a real Hydroelectric Power Plant. The results show how the reliability of the components and the remaining useful life of those in fault can impact the decision-making regarding the in-service life extension of a system. This article is available in the ASME Digital Collection at https://doi.org/10.1115/1.4055220.

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Information

Published In

Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
Volume 8Issue 4December 2022

History

Received: Oct 8, 2021
Revision received: Jul 18, 2022
Published online: Sep 8, 2022
Published in print: Dec 1, 2022

Authors

Affiliations

Arthur Henrique de Andrade Melani [email protected]
Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School of the University of São Paulo, Av. Prof. Mello Moraes 2231 – Cidade Universitária, São Paulo, SP 05508-030, Brazil e-mail: [email protected]
Miguel Angelo de Carvalho Michalski [email protected]
Department of Mechatronics and Mechanical Systems Engineering Polytechnic School of the University of São Paulo, Av. Prof. Mello Moraes 2231 – Cidade Universitária, São Paulo SP, 05508-030, Brazil e-mail: [email protected]
Renan Favarão da Silva [email protected]
Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School of the University of São Paulo, Av. Prof. Mello Moraes 2231 – Cidade Universitária, São Paulo SP, 05508-030, Brazil e-mail: [email protected]
Gilberto Francisco Martha de Souza [email protected]
Department of Mechatronics and Mechanical Systems Engineering, Polytechnic School of the University of São Paulo, Av. Prof. Mello Moraes 2231 – Cidade Universitária, São Paulo SP, 05508-030, Brazil e-mail: [email protected]

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