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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

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Guide on Transformer Intelligent Condition Monitoring (TICM) Systems

UNSPECIFIED (2015) Guide on Transformer Intelligent Condition Monitoring (TICM) Systems. [Report]

Full text not available in this repository. (Request a copy from the Strathclyde author)


The market now offers plenty of sensors, IEDs, on-line continuous monitoring systems, analysis algorithms and software systems for condition evaluation. However there is no common practice on how to manage the whole process and convert the large amount of data into useful and relevant information. Common ideas and designs would enable the construction of a Transformer Intelligent Condition Monitoring (TICM) System, flexible and extensible enough to meet utility needs now and in the future. The WG A2.44 objective through this Technical Brochure (TB) is to provide guidance to manufactures and utilities interested in understanding the main aspects involved with TICM. This understanding may help them to: - define projects, processes and specifications to utilize best practices, and maximize the use of Condition Monitoring (CM) and diagnostic information; - improve asset management techniques with the large scale use of integrated information systems; - recommend actions for the use of existing on-line continuous monitoring systems and TICM systems. Several aspects of the TICM process are addressed in the text throughout the discussion of modelling ideas, architecture possibilities, example algorithms, results from a WG survey and some examples of monitoring cases. A review of alternatives based on what currently exists is presented, in order to construct a suitable transition process towards future CM solutions and scenarios. For a better investment return this transition should ideally occur with a minimum of technical and economic impact on legacy systems.