Condition assessment techniques for large power transformers

Lapworth, J.; Jarman, Paul; Funnell, I.R.

doi:10.1049/cp:19950223

Cited by 13 publications

(6 citation statements)

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“…Bartley (2003) identifies twelve failure modes, two of which are of particular interest for monitoring and prognostics because of their relative ubiquity in aging transformers: insulation failure and oil contamination. Several monitoring methods exist to detect anomalies and characterize the condition of oil-filled transformers: dissolved gas analysis (Heathcote, 1998), insulating oil quality testing (USDI, 2000(USDI, , 2003, moisture content measurements (USDI, 2003), various methods of power factor testing, winding resistance and ratio testing, thermography, recovery voltage testing, winding insulating oil monitoring, tap changer monitoring, internal temperature measurement, and others (Lapworth, Jarman, & Funnell, 1995;Wang, Vandermaar, & Srivastava, 2002). Several measurements can be obtained online while the transformer is energized (Gavrilovs, 2011).…”

Section: Transformersmentioning

confidence: 99%

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

Coble

Ramuhalli

Bond

et al. 2020

IJPHM

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The US operating fleet of light water reactors (LWRs) is currently undergoing life extensions from the original 40- year license to 60 years of operation. In the US, 74 reactors have been approved for the first round license extension, and 19 additional applications are currently under review. Safe and economic operation of these plants beyond 60 years is now being considered in anticipation of a second round of license extensions to 80 years of operation. Greater situational awareness of key systems, structures, and components (SSCs) can provide the technical basis for extending the life of SSCs beyond the original design life and supports improvements in both safety and economics by supporting optimized maintenance planning and power uprates. These issues are not specific to the aging LWRs; future reactors (including Generation III+ LWRs, advanced reactors, small modular reactors, and fast reactors) can benefit from the same situational awareness. In fact, many small modular reactor (SMR) and advanced reactor designs have increased operating cycles (typically four years up to forty years), which reduce the opportunities for inspection and maintenance at frequent, scheduled outages. Understanding of the current condition of key equipment and the expected evolution of degradation during the next operating cycle allows for targeted inspection and maintenance activities. This article reviews the state of the art and the state of practice of prognostics and health management (PHM) for nuclear power systems. Key research needs and technical gaps are highlighted that must be addressed in order to fully realize the benefits of PHM in nuclear facilities.

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Section: Transformersmentioning

confidence: 99%

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

Coble

Ramuhalli

Bond

et al. 2020

IJPHM

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“…Other, more advanced technologies are still in the research phase, but may be applicable for integration into a full health monitoring system. These methodologies include: dissolved gas analysis, insulating oil quality testing, moisture content measurements, various methods of power factor testing, winding resistance and ratio testing, thermography, recovery voltage testing, winding insulating oil monitoring, tap changer monitoring, internal temperature measurement, and others (Lapworth et al 1995;Wang et al 2002). Several different transformer monitoring techniques are currently being used to measure degradation of transformers.…”

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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“…In practice, assessments of the transformers conditions may be performed for any of the following reasons [3]: to monitor the transformer condition and possibly detect incipient faults; to diagnose problems when a transformer exhibits danger signals or following the operation of their protection devices; to determine whether a transformer is in condition to cope with unusual operating conditions; to satisfy the requirements for insurance cover; to obtain reference results to assist in the interpretation of subsequent tests; and to assist in planning the replacement strategy for a population of transformers.…”

Section: Assessments Of Power Transformers In Servicementioning

confidence: 99%

“…For the development of transformers diagnostic tools, it has been essential to undertake a survey about the transformer main components, the associated defects and their diagnostic methods. This survey was based on publications on this subject [1][2][3][4][5][6], interviews with experts in power transformers and on a database of maintenance of power transformers obtained from a large transmission utility. The results of this survey are summarized in Table I.…”

Section: Assessments Of Power Transformers In Servicementioning

confidence: 99%

DITRANS - A Multi-agent System for Integrated Diagnosis of Power Transformers

Morais

Rolim

Vale

2007

2007 IEEE Lausanne Power Tech

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This paper describes the development and the implementation of a multi-agent system for integrated diagnosis of power transformers. The system is divided in layers which contain a number of agents performing different functions. The social ability and cooperation between the agents lead to the final diagnosis and to other relevant conclusions through integrating various monitoring technologies, diagnostic methods and data sources, such as the dissolved gas analysis. Index Terms-Power Transformers, Multi-agent System, Online and Off-line diagnosis and monitoring methods. 978-1-4244-2190-9/07/$25.00

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Condition assessment techniques for large power transformers

Cited by 13 publications

References 0 publications

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

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

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

DITRANS - A Multi-agent System for Integrated Diagnosis of Power Transformers

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