Prognostic Health Management of Aircraft Power Generators

Batzel, T.D.; Swanson, David C.

doi:10.1109/taes.2009.5089535

Cited by 112 publications

(51 citation statements)

References 26 publications

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“…Several researchers have worked on condition monitoring of synchronous generators (Auckland et al, 1995;Batzel & Swanson, 2009;Bruzzese, Giordani, & Santini, 2008;Penman & Jiang, 1996;Tavner, 2008). In synchronous generators, short circuit faults may happen in stator winding and field winding coils.…”

Section: Methodsmentioning

confidence: 99%

Intelligent fault diagnosis of synchronous generators

Gopinath

Kumar

Ramachandran

et al. 2016

Expert Systems with Applications

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Section: Methodsmentioning

confidence: 99%

Intelligent fault diagnosis of synchronous generators

Gopinath

Kumar

Ramachandran

et al. 2016

Expert Systems with Applications

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“…An alternative is to cast the state-space model as an adaptive signal smoothing model [15], and to set the rate of change of the output as a state to be estimated. Few examples of this signal-based approach have been previously reported, those found are applied to predicting the RUL of a tensioned steel band [16] and the prognosis of aircraft power generators [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Fusing an ensemble of diverse prognostic life predictions

Laslett

Mills

Zaidan

et al. 2014

2014 IEEE Aerospace Conference

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Prognosis refers to the production of bounded estimates for the remaining useful life (RUL) of a component or system. Robust prognosis within well defined uncertainty bounds promises the ability to lower system sustainment costs and improve maintenance decision making. In ideal scenarios, the degradation of many assets is predictable from measurements taken during operation. These measurements, accompanied by appropriate knowledge, have been successfully used with various prognostic trending and prediction techniques to estimate the remaining useful life. However, there are scenarios where changes in operating environment or emerging fault modes can alter the degradation path an asset takes and thus invalidate previous predictions. One approach to overcoming these challenges is to develop prognostic techniques sensitive to change, however this sensitivity must be traded for robustness to imperfect degradation measurements. As an alternative, we develop multiple predictors, each with differing properties so that multiple estimates can be made based on different possible scenarios. A data fusion architecture is presented that combines multiple prognostic techniques weighted by their individual prediction uncertainty for the remaining useful life of an asset. The architecture is based on the concept of an ensemble Kalman Filter with an adaptive error co-variance parameter. The parameter is updated in real-time with the prediction variances produced by the set of prognostic predictions. Using real civil aerospace data, the technique is demonstrated to provide an amalgamated estimate of RUL to a fleet management operator. The developed architecture provides improved decision support to fleet maintainers in comparison to existing single prognostic technique methods.

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“…PHM technology has been widely used in the design and maintenance of the complicated systems for unmanned aerial vehicle, guided missile, radar, etc [7]. in China, but it is seldom applied in the civil systems, such as the cable television network.…”

Section: Introduction To Phmmentioning

confidence: 99%

Study on the Distributed Detection System for Digital TV Signal Based on Prognostic and Health Management

Luo¹,

Zheng²

2013

Int. J. Onl. Eng.

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Abstract-With continuous further development of cable television technology, the integrating and intelligent degree of digital TV network increases constantly. And people are paying more and more attention to issues such as the stability, reliability, maintainability, security, detectability, life cycle cost, etc. which may provide favorable conditions for the generation and development of prognostic and health management (PHM) of the network equipment. In this paper, the background knowledge of the distributed digital TV signals detection system was illustrated simply at first, and then the basic concept, function and current situation of PHM were introduced. On that basis, the system design of PHM was reflected from system structure and functional component by aiming at realizing this project. In the end, the equipment health examination module has been designed specifically from the operating principle, module composition, function realizing process and decision-making support.

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Prognostic Health Management of Aircraft Power Generators

Cited by 112 publications

References 26 publications

Intelligent fault diagnosis of synchronous generators

Intelligent fault diagnosis of synchronous generators

Fusing an ensemble of diverse prognostic life predictions

Study on the Distributed Detection System for Digital TV Signal Based on Prognostic and Health Management

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