Embedded prognostics and health monitoring systems

Rouet, Vincent; Moreau, Katell; Foucher, B.

doi:10.1109/estc.2008.4684327

“…An overview of the literature relative to TES and related topics forms the grounding for this research. The subsequent survey is informed by a review of the literature relative to CBM 1 , CBM 2 , CBM 3 , 15,[24][25][26] IVHM, [27][28][29][30] prognostic and diagnostic technology application, [31][32][33] MRO support and knowledge management systems 34 and PLM. 35,36 In seeking to offer a definition of TES, one sees no definitive descriptor emerging.…”

Section: Phase 1: Literature Review and Questionnaire Designmentioning

confidence: 99%

The adoption and use of diagnostic and prognostic technology within UK-based manufacturers

Grubić

¹

,

Redding

²

,

Baines

³

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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Manufacturing organisations seek ever more innovative approaches in order to maintain and improve their competitive position within the global market. One such initiative that is gaining significance is 'through-life engineering services'. These seek to adopt 'whole life' service support through the greater understanding of component and system performance driven by knowledge gained from maintenance, repair and overhaul activities. This research presents the findings of exploratory research based on a survey of UK manufacturers who provide through-life engineering services. The survey findings illustrate significant issues to be addressed within the field before the concept becomes widely accepted. These include a more proactive approach to maintenance activities based on real-time responses; standardisation of data content, structure, collection, storage and retrieval protocols in support of maintenance; the development of clear definitions, ontologies and a taxonomy of through-life engineering services in support of the service delivery system; lack of understanding of component and system performance due to the presence of 'No Fault Found' events that skew maintenance metrics and the increased use of radio-frequency identification technology in support of maintenance data acquisition.

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“…An overview of the literature relative to TES and related topics forms the grounding for this research. The subsequent survey is informed by a review of the literature relative to CBM 1 , CBM 2 , CBM 3 , 15,24–26 IVHM, 27–30 prognostic and diagnostic technology application, 31–33 MRO support and knowledge management systems 34 and PLM. 35,36…”

Section: Methodsmentioning

confidence: 99%

The adoption and use of through-life engineering services within UK manufacturing organisations

Redding

¹

,

Tiwari

²

,

Roy

³

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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Manufacturing organisations seek ever more innovative approaches in order to maintain and improve their competitive position within the global market. One such initiative that is gaining significance is 'through-life engineering services'. These seek to adopt 'whole life' service support through the greater understanding of component and system performance driven by knowledge gained from maintenance, repair and overhaul activities. This research presents the findings of exploratory research based on a survey of UK manufacturers who provide through-life engineering services. The survey findings illustrate significant issues to be addressed within the field before the concept becomes widely accepted. These include a more proactive approach to maintenance activities based on real-time responses; standardisation of data content, structure, collection, storage and retrieval protocols in support of maintenance; the development of clear definitions, ontologies and a taxonomy of through-life engineering services in support of the service delivery system; lack of understanding of component and system performance due to the presence of 'No Fault Found' events that skew maintenance metrics and the increased use of radio-frequency identification technology in support of maintenance data acquisition.

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“…Physics-based knowledge allows determining causal relations of component degradations. (Greitzer & Pawlowski, 2002) proposes a parametric model of the vibration waveform for different faults (particularly for bearing faults) on a diesel motor to apply a trend monitoringbased prognosis approach. (Byington & Stoelting, 2004) performs diagnosis and prognosis on an EMA of a flight control system with a model whose parameters are estimated from on-line data.…”

Section: Data-driven Prognosismentioning

confidence: 99%

A generic ageing model for prognosis - Application to Permanent Magnet Synchronous Machines

Vinson,

Ribot,

Combacau

2014

PHME_CONF

0

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In the context of more electrical aircrafts, Permanent Magnet Synchronous Machines are used in a more and more aggressive environment. It becomes necessary to supervise their health state and to predict their future evolution and remaining useful life in order to anticipate any requested maintenance operation. Model-based prognosis is a solution to this issue. Any prognosis method must rely on knowledge about the system ageing. A review of existing ageing laws is presented. The generic ageing model proposed in (Vinson, Ribot, Prado, & Combacau, 2013) is extended in this paper. It allows representing the ageing of any equipment and the impact of this ageing on its environment. The model includes the possible retroaction of the system health state to itself through stress increase in case of damage. The proposed ageing model is then illustrated with Permanent Magnet Synchronous Machines (PMSM). Two critical faults are characterized and modeled : inter-turns short-circuits and rotor demagnetization. Stator and rotor ageing are well represented by the proposed ageing model. The prognosis method developed in (Vinson et al., 2013) is extended to consider this new generic ageing model. In order to test the prognosis algorithm, ageing data are needed Since no real measurements are available, a virtual prototype of PMSM is developed. It is a realistic model which allows running a fictive but realistic scenario of stator ageing. The scenario comprises apparition and progression of an inter-turns short-circuit and its impact on stator temperature, which value has an impact on the ageing speed. The prognosis method is applied successfully to the PMSM during this scenario and allows estimating the RemainingUseful Life (RUL) of the stator and the machine.

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Embedded prognostics and health monitoring systems

Cited by 9 publications

References 3 publications

The adoption and use of diagnostic and prognostic technology within UK-based manufacturers

The adoption and use of diagnostic and prognostic technology within UK-based manufacturers

The adoption and use of through-life engineering services within UK manufacturing organisations

A generic ageing model for prognosis - Application to Permanent Magnet Synchronous Machines

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