Smart electricity meter reliability prediction based on accelerated degradation testing and modeling

Yang, Zhou; Chen, Y.X.; Li, Yan‐Fu; Zio, Enrico; Kang, Rui

doi:10.1016/j.ijepes.2013.11.023

Cited by 89 publications

(50 citation statements)

References 29 publications

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“…79, 80 Nelson studied the accelerated degradation test firstly. 81 Padgett et al made an extension about the application in light-emitting diodes, logic integrated circuits, power supply, carbon film resistors and other equipment.…”

Section: Storage Life Prediction Methods Based On Accelerated Degradamentioning

confidence: 99%

A survey on life prediction of equipment

Zhou

Zhang

et al. 2015

Chinese Journal of Aeronautics

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Once in the hands of end users, such durable equipment as spacecraft, aircraft, ships, automobiles, computers, etc. are in a state of debugging, working or storage. In either state, availability, reliability and super-efficiency are the ultimate goals, which have been achieved through constant monitoring as well as regular, preventive, routine and corrective maintenance. Although some advanced instruments can visualize certain invisible malfunctioning phenomena into visible ones, deeply hidden troubles cannot be found unless monitoring and testing data are addressed using tools that process the data statistically, analytically and mathematically. Some state-of-theart trouble-shooting and life-predicting techniques and approaches are introduced in this paper. ª 2015 Production and hosting by Elsevier Ltd. on behalf of CSAA & BUAA.

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Section: Storage Life Prediction Methods Based On Accelerated Degradamentioning

confidence: 99%

A survey on life prediction of equipment

Zhou

Zhang

et al. 2015

Chinese Journal of Aeronautics

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“…An example where a smart electricity meter is exposed to these stressors in accelerated tests in order to predict the system reliability is reported in (33).…”

Section: De-risking and Reliability Growthmentioning

confidence: 99%

Component reliability test approaches for marine renewable energy

Thies

Johanning

Karikari-Boateng

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part O:

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An increasing number of marine renewable energy (MRE) systems are reaching the stage where a working prototype must be demonstrated in operation in order to progress to the next stage of commercial projects. This stage is often referred to as 'valley of death' where device developers face the challenge to raise capital needed to demonstrate the prototype. The dilemma is that investors understandably demand a proven track record and demonstrated reliability in order to provide capital. One way to resolve this dilemma is specific component reliability testing that not only satisfies investor expectations but holds the potential to improve and de-risk components for MRE. This paper gives an overview to different component reliability test approaches in established industries and for marine renewable energy, covering both wave and tidal energy technologies. There has been notable activity in the research community to develop and implement dedicated component reliability test rigs that allow the investigation and demonstration of component reliability under controlled, yet representative conditions. Two case studies of physical test rigs will illustrate the possible test approaches. The Nautilus Powertrain test rig, a facility at the Offshore Renewable Energy (ORE) Catapult, The paper highlights the relevance of component testing and qualification prior to large-scale commercial deployments and gives an insight to some of the test capabilities available in the sector. Several case studies illustrate the component test approach for tidal energy (Nautilus) and wave energy (DMaC) applications.

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“…The reliability of the degradation of the example was analyzed in literature [33] and by Yang and Xue in literature [30] based on stochastic process method. This paper also used the data in literature [30] as an example, which demonstrates the process of the calculation method.…”

Section: Examplementioning

confidence: 99%

“…Aiming at this problem, domestic and foreign scholars have done a lot of works. A degradation test was performed for six main parameters of pricing function module of the smart meter using the method of accelerated degradation in the literature [33]. The degradation path of billing module of smart meters and the failure probability were measured by fitting the degradation data and using the extrapolation degradation path under different times.…”

Section: Introductionmentioning

confidence: 99%