Failure modes and effects analysis of complex engineering systems using functional models

Hawkins, P.G.; Woollons, D J

doi:10.1016/s0954-1810(97)10011-5

Cited by 73 publications

(41 citation statements)

References 10 publications

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“…In the hierarchical structure model, the entire system is constituted with several subsystems which are made of many sub-sub-systems, and so on. In this way, we can decompose the complex electric system iteratively into the smallest replaceable unit, such as a transformer substation, voltage changer or ammeter [4,5]. The delimitation of system hierarchy is optional and the decomposition process is subjective.…”

Section: Formal Modeling For Fmeamentioning

confidence: 99%

Formal Modeling and Analysis for Power Grid Operation Risk

Lin¹,

Chen²,

Liu³

et al. 2017

Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

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Abstract. As more and more coupled facilities being integrated into the electric system, the system operation is changing into a high risk level. The spreading of a small failure can result a big disaster in many large-scale electric systems. Failure modes and effects analysis (FMEA) is a conventional risk analysis approach which has a worldwide recognition in the past years. This paper proposes a formal modeling approach for electric system operation risk, in which the failure modes are defined as the inherent features of the system components. Then, we propose a structured modeling technique for representing FMEA causal knowledge in unified Boolean matrices. By searching the reasoning matrices iteratively, the system effects of the certain bottom-level failure events can be found automatically. The result points out more important focus to handle, advance the treatment order of the failure events, and so improve the efficiency of risk management.

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Section: Formal Modeling For Fmeamentioning

confidence: 99%

Formal Modeling and Analysis for Power Grid Operation Risk

Lin¹,

Chen²,

Liu³

et al. 2017

Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

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show abstract

“…However, such applications seem to be limited to specific components or smallscale subsystems. An example of automated functional approach for an electrically driven gear pump has, for instance, been proposed by Hawkins and Woollons (1998).…”

Section: Functional Approachmentioning

confidence: 99%

Method to assess and optimise dependability of complex macro-systems: Application to a railway signalling system

Vernez

Vuille

2009

Safety Science

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“…The standard failure analysis method used in design is FMEA [1,2]. When rigorously performed it can aid in the detection of risks in a product.…”

Section: Linguistic Terminologymentioning

confidence: 99%

Failure Prevention in Design Through Effective Catalogue Utilization of Historical Failure Events

Lough

Stone

Tumer

2008

J Fail. Anal. and Preven.

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The science of failure prevention relies heavily on the experience of personnel on a project. As the nation is about to face a tremendous decline in the experienced workforce due to the baby boomer generation's retirement, it is critical to begin focusing on capturing their knowledge. Cataloging and communicating the knowledge of potential failures is critical to prevent engineering disasters. Many companies have adopted failure-reporting systems that allow them to record their engineering failures to promote failure prevention. While recording this information is vital to learning from past mistakes, often the information is not stored so that engineers and designers can easily recall this valuable linguistic information and use it to improve designs. Therefore, more effective systems for cataloging and utilizing corporate memory of recorded failure events are needed. This article presents the design of a computational linguistic database to support the failure prevention tool, the risk in early design (RED) method. RED promotes failure prevention by identifying failure risks as early as the conceptual phase of product design, where impacts of failure prevention are greatest. It uses a database populated by historical failure event information to present specific areas that are at risk of failure in a product.

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Failure modes and effects analysis of complex engineering systems using functional models

Cited by 73 publications

References 10 publications

Formal Modeling and Analysis for Power Grid Operation Risk

Formal Modeling and Analysis for Power Grid Operation Risk

Method to assess and optimise dependability of complex macro-systems: Application to a railway signalling system

Failure Prevention in Design Through Effective Catalogue Utilization of Historical Failure Events

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