Failure mechanisms based prognostics

Mathew, Sony; Das, Diganta; Rossenberger, R.; Pecht, Michael

doi:10.1109/phm.2008.4711438

Cited by 51 publications

(24 citation statements)

References 7 publications

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“…al define failure mechanisms as the processes by which the failure modes are induced [14]. Sony describes this as the processes by which a specific combination of physical, electrical, chemical, and mechanical stresses induces failures [16]. Pecht et.…”

Section: Introduction To the Research Methodsmentioning

confidence: 99%

A failure modes and mechanisms naming taxonomy

O’Halloran

Stone

Tumer

2012

2012 Proceedings Annual Reliability and Maintainability Symposium

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Section: Introduction To the Research Methodsmentioning

confidence: 99%

A failure modes and mechanisms naming taxonomy

O’Halloran

Stone

Tumer

2012

2012 Proceedings Annual Reliability and Maintainability Symposium

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“…Development of a more general LCM methodology which utilizes empirical models, such as neural networks, kernel regression models, or simple regression, for damage estimation would increase the applicability of this algorithm. Several methods for fusing physics-of-failure models and empirical results for electronic prognostics have been proposed (Mathew et al 2008;Cheng and Pecht 2009). …”

Section: Electronic Prognosticsmentioning

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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“…[6] FMMEA provides valuable information about how a fault may occur and what the consequences on the system as a whole will be. By using this type of analysis a system designer can insure that the correct sensors are used to detect the fault at the earliest stage.…”

Section: Prognostic Health Management Approachesmentioning

confidence: 99%

Prognostic health management techniques for intelligent condition monitoring of offshore renewable generation assets

Herd

Flynn

2013

2nd IET Renewable Power Generation Conference (RPG 2013)

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The application of Prognostic Health Management (PHM) methods offer the potential of improved reliability in the maintenance of large, remote and complex assets ensuring they continue to achieve optimal performance throughout their designed lifetime. This paper reviews the current stateof-the-art in condition monitoring for the offshore renewable energy sector to highlight the current capabilities and limitations. Based upon this review and an examination of PHM case studies, the design and function of PHM systems for offshore renewable industry assets will be presented.

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Failure mechanisms based prognostics

Cited by 51 publications

References 7 publications

A failure modes and mechanisms naming taxonomy

A failure modes and mechanisms naming taxonomy

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

Prognostic health management techniques for intelligent condition monitoring of offshore renewable generation assets

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