Failure Modes and Effects Analysis for Domestic Electric Energy Meter Using In-Service Data

Li, Ning; Yang, Jincheng; Sun, Yongquan; Wang, Gang; Zhang, Jiahai; Liu, Chun

doi:10.1088/1755-1315/108/5/052036

Cited by 7 publications

(2 citation statements)

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“…The reliability of smart electricity meters is already addressed in several research works [26]. It is typical for electronic devices (also smart energy meters) that the hazard (failure) rate vs. time follows a so-called 'bathtub' shape [27] (p. 9).…”

Section: Reliability Of Smart Meter and Error Driftmentioning

confidence: 99%

A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

Nakutis

Kaškonas

2020

Energies

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In this paper, remote error monitoring techniques for electricity meters are overviewed suggesting their utilization for in-service surveillance assistance. It is discussed that in-service error observation could provide valuable input, contributing to the timely detection of batches of meters reaching nonconformance status. The payback period analysis of the deployment of a remote error monitoring solution is considered. However, it is pointed out that such an analysis lacks input information describing the relationship between the remote monitoring system’s performance and its ability to detect nonconformance of the batch. It is also noticed that there is no published methodology for grading the status of an entire batch of meters referring to error estimates of a subset of the meters, when the uncertainty of estimation is rather high.

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Section: Reliability Of Smart Meter and Error Driftmentioning

confidence: 99%

A Contemplation on Electricity Meters In-Service Surveillance Assisted by Remote Error Monitoring

Nakutis

Kaškonas

2020

Energies

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“…Energy meter accuracy is critical seeking to avoid risk cost for both energy consumers and producers [1]. It is typical that metrological precision of meters degrades over time [2].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Energy Meter Accuracy using Remote Non-invasive Observation

Saunoris

Nakutis

Knyva

2022

Measurement Science Review

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This paper presents an error analysis of the estimation of energy meter correction factor (CF) using a remote non-invasive technique. A method of the CF estimation based on the comparison of synchronously detected power steps in power consumption profiles of meter under test and reference meter is elaborated. The dependence of meter CF estimation uncertainty upon the magnitude of power steps, the number of power steps per observation interval, and the number of meters under test monitored by one reference meter is approximated. The synthesized consumer active power profiles are used to obtain training data points that are fit by these approximating equations.

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