On-line Transformer Condition Monitoring through Diagnostics and Anomaly Detection

Catterson, Victoria M.; Rudd, S. E.; McArthur, Stephen; Moss, Graham

doi:10.1109/isap.2009.5352860

Cited by 18 publications

(11 citation statements)

References 10 publications

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“…(1) Modeling and Simulation [41][42][43], (2) Protection [44,45], (3) Monitoring and Diagnostics [46][47][48], and (4) Distributed Control [49][50][51][52]. However, in order to achieve agility, the MAS should be capable to encompass all of its application areas.…”

Section: Distributed System Approachmentioning

confidence: 99%

The rise of AGILE demand response: Enabler and foundation for change

Babar

Nyugen

Ćuk

et al. 2016

Renewable and Sustainable Energy Reviews

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Section: Distributed System Approachmentioning

confidence: 99%

The rise of AGILE demand response: Enabler and foundation for change

Babar

Nyugen

Ćuk

et al. 2016

Renewable and Sustainable Energy Reviews

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“…The modular nature of the system makes it particularly attractive for combining with agents which perform fault detection and diagnostics based on other information, such as DGA or SCADA results (Catterson et al 2005). The developed on-line monitoring system was deployed on two transformers nearing end of life (Catterson et al 2009). This system used data collected from 50+ sensors to detect and diagnose anomalies.…”

Section: Transformersmentioning

confidence: 99%

Prognostics and Health Management in Nuclear Power Plants: A Review of Technologies and Applications

Coble¹,

Ramuhalli²,

Bond³

et al. 2012

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Recent years have seen a resurgence of nuclear power worldwide, with interest in extending the operating life of the approximately 436 reactors currently in service (as of March, 2012), 61 new reactors being constructed, and as many as 162 under consideration. Renewed worldwide interest in nuclear power has been somewhat tempered by the March 2011 incident at Fukushima Dai-ichi in Japan. However, nuclear power is still considered a key element in meeting future worldwide sustainable energy, energy security, and emissions goals. Currently, three separate thrusts to safe and economical nuclear power development for energy security are being pursued in the United States: (i) longer term operation for the legacy fleet, from 40-60 and possibly 60-80 years; (ii) near-term new nuclear plants with a 60-year design life; and (iii) small modular reactors, which are expected to employ light water reactor technology at least in the medium term. Within these activities, attention is turning to enhanced methods for plant component and structural health management.The operating U.S. fleet includes 104 light water reactors. In addition, there are now (as of May 2012) four new nuclear power plants (AP-1000 plants) under construction in the United States, and two delayed plants are being completed by the Tennessee Valley Authority. There is also interest in the United States in small modular reactors (SMRs), which could be easier to match to existing grid infrastructure and which could replace aging coal fired plants. The current low price for natural gas presents a challenge to the economics of nuclear power, at least in the short term; however, some recent studies have demonstrated that nuclear generation will be competitive in the longer term (at least in some markets) when anticipated escalation in gas prices and the cost of building, operating, and maintaining gas-fired plants are considered over those same time periods.This report reviews the current state of the art of prognostics and health management (PHM) for nuclear power systems and related technology currently applied in field or under development in other technological application areas, as well as key research needs and technical gaps for increased use of PHM in nuclear power systems. The historical approach to monitoring and maintenance in nuclear power plants (NPPs), including the Maintenance Rule for active components and Aging Management Plans for passive components, are reviewed. An outline is given for the technical and economic challenges that make PHM attractive for both legacy plants through Light Water Reactor Sustainability (LWRS) and new plant designs. There is a general introduction to PHM systems for monitoring, fault detection and diagnostics, and prognostics in other, non-nuclear fields. The state of the art for health monitoring in nuclear power systems is reviewed. A discussion of related technologies that support the application of PHM systems in NPPs, including digital instrumentation and control systems, wired and wireless sensor techno...

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“…Multi-agent systems (MAS) provide a promising approach to the problem of information fusion for health monitoring (McArthur et al 2004;Catterson et al 2005;Catterson et al 2009). An agent is defined by Wooldridge (1995) as software that displays autonomy, reactivity, pro-activeness, and social ability.…”

Section: A-7 Multi-agent Systemsmentioning

confidence: 99%

“…The modular nature of the system makes it particularly attractive for combining with agents that perform fault detection and diagnostics based on other information, such as dissolved gas analysis (DGA) or Supervisory Control and Data Acquisition (SCADA) results (Catterson et al 2005). The developed online monitoring system was deployed on two transformers nearing end of life (Catterson et al 2009). This system used data collected from 50+ sensors to detect and diagnose anomalies.…”

Section: A-7 Multi-agent Systemsmentioning

confidence: 99%

Lifecycle Prognostics Architecture for Selected High-Cost Active Components

Lybeck¹,

Pham²,

Tawfik³

et al. 2011

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There are an extensive body of knowledge and some commercial products available for calculating prognostics, remaining useful life, and damage index parameters. The application of these technologies within the nuclear power community is still in its infancy. Online monitoring and condition-based maintenance is seeing increasing acceptance and deployment, and these activities provide the technological bases for expanding to add predictive/prognostics capabilities. In looking to deploy prognostics there are three key aspects of systems that are presented and discussed: component/system/structure selection, prognostic algorithms, and prognostics architectures. Criteria are presented for component selection: feasibility, failure probability, consequences of failure, and benefits of the prognostics and health management (PHM) system. The basis and methods commonly used for prognostics algorithms are reviewed and summarized. Criteria for evaluating PHM architectures are presented: open, modular architecture; platform independence; graphical user interface for system development and/or results viewing; web-enabled tools; scalability; and standards compatibility.Thirteen software products were identified and discussed in the context of being potentially useful for deployment in a PHM program applied to systems in a nuclear power plant (NPP). These products were evaluated by using information available from company websites, product brochures, fact sheets, scholarly publications, and direct communication with vendors. The thirteen products were classified into four groups of software: research tools, PHM system development tools, deployable architectures, and peripheral tools. Eight software tools fell into the deployable architectures category. Of those eight, only two employ all six modules of a full PHM system. Five systems did not offer prognostic estimates, and one system employed the full health monitoring suite but lacked operations and maintenance support. Each product is briefly described in Appendix A, "Assessment Criteria." Selection of the most appropriate software package for a particular application will depend on the chosen component, system, or structure. Ongoing research will determine the most appropriate choices for a successful demonstration of PHM systems in aging NPPs.iv v SUMMARYAt the start of 2011, there were 439 nuclear power plants (NPPs) in the commercial global fleet; these plants started operation with 30-or 40-year licenses. The 104 NPPs in the United States represent about 10% of the installed capacity and currently provide about 20% of U.S. electricity. They have become highly efficient with an average capacity factor in excess of 91%, and they are a key element in the delivery of base-load electricity. They were originally licensed for 40 years, and a process has been established to enable license extension, to permit operation from 40 to 60 years. As of July 2011, license extensions have been granted for 71 plants at 40 sites. An additional 13 plants at nine sites are currently ...

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On-line Transformer Condition Monitoring through Diagnostics and Anomaly Detection

Cited by 18 publications

References 10 publications

The rise of AGILE demand response: Enabler and foundation for change

The rise of AGILE demand response: Enabler and foundation for change

Prognostics and Health Management in Nuclear Power Plants: A Review of Technologies and Applications

Lifecycle Prognostics Architecture for Selected High-Cost Active Components

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