Author
Juan L. Velasquez-Contreras
Bio: Juan L. Velasquez-Contreras is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Failure rate & Asset management. The author has an hindex of 1, co-authored 1 publications receiving 46 citations.
Papers
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TL;DR: GAMMEU as mentioned in this paper is a platform for data integration, an intelligent system for detection and diagnosis of failures, a failure rate estimation model, a module of reliability analysis and an optimisation model for maintenance scheduling.
52 citations
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TL;DR: In this paper, the authors provide a detailed exposure to asset management classification, various interesting maintenance methods and theories developed and discuss various risk assessment techniques in asset management developed and used for academic research and industries.
Abstract: Asset management is one of the key components in a transforming electric power industry. Electric power industry is undergoing significant changes because of technical, socio-economical and environmental developments. Also, because of restructuring and deregulation, the focus has been on transmission and distribution assets that include transmission lines, power transformers, protection devices, substation equipment and support structures. This study aims to provide a detailed exposure to asset management classification, various interesting maintenance methods and theories developed. The work encompasses the issue of data management in recent years. Because of the use of various smart metering devices, large amounts of information are being collected. The advent of data-mining techniques has changed the asset management scenario, and it has been covered in this survey paper. In the end, it also discusses various risk assessment techniques in asset management developed and used for academic research and industries. It is accompanied with survey results from pan-European Transmission System Operator (TSOs) on various aspects in asset management.
61 citations
TL;DR: In this article, two systems, real-time and off-line, are proposed to monitor the temperature variations and analyze hot regions in the electrical assets using infrared thermograms, and a redness area based algorithm is also proposed to analyze the hot regions and also to estimate rate of change of hotness in electrical assets for early detection and prediction of faults.
55 citations
TL;DR: In this article, a review of the various activities performed by transmission system operators while reviewing the concept of each time-horizon and methodologies developed in literature is presented, where the interactions and overlapping are discussed.
Abstract: In the planning and operation of power systems, actions are taken in different processes and time-horizons. The purpose of these actions is to secure a high reliability level. Although the three main processes (grid development, asset management, and system operation) are described in literature, there has been no explicit study on the time-horizons (long-term, mid-term, and short-term) and actual time-scale (decades, years, months, etc.) that these processes focus on. This study aims at making a review of the various activities performed by transmission system operators while reviewing the concept of each time-horizon and methodologies developed in literature. As decisions taken in different time-horizons can influence each other, the interactions and overlapping are discussed.
50 citations
TL;DR: In this paper, a neural-fuzzy network is used to model the thermal condition of the power transformer in fault-free operation and the output of the neural fuzzy network is compared to measurements from the power transform and the obtained residuals undergo statistical processing according to a fault detection and isolation algorithm.
48 citations
Patent•
31 Jan 2014
TL;DR: A computer-implemented system and method for predictive and diagnostic analysis of an electrical transmission, generation and distribution asset health includes a computer with a non-transient computer readable medium able to receive data regarding an asset, its components, component subsystem and parameters related thereto as mentioned in this paper.
Abstract: A computer-implemented system and method for predictive and diagnostic analysis of an electrical transmission, generation and distribution asset health includes a computer with a non-transient computer readable medium able to receive data regarding an asset, its components, component subsystem and parameters related thereto. Instructions stored on the non-transient computer readable medium execute instructions that predictively calculate overall asset health and also calculated the states of subsystems and component parameters, providing a diagnostic of the causes of poor asset health.
44 citations