{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T21:40:36Z","timestamp":1774042836046,"version":"3.50.1"},"reference-count":25,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T00:00:00Z","timestamp":1670976000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Science and Technology Project of State Grid Shandong Electric Power Company","award":["2020A\u2014134"],"award-info":[{"award-number":["2020A\u2014134"]}]},{"name":"Project of Reserve Leaders of Heilongjiang Provincial Leading Talent Echelon","award":["2020A\u2014134"],"award-info":[{"award-number":["2020A\u2014134"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>It is helpful to have a replacement strategy by predicting the number of failures of in-service electricity meters. This paper presents a failure number prediction method for smart electricity meters based on on-site fault data. The prediction model was constructed by combining Weibull distribution with odds ratios, then the distribution parameters, failure prediction number, and confidence intervals of prediction number were calculated. A strategy of meter replacement and reserve were developed according to the prediction results. To avoid the uncertainty of prediction results due to the small amount of field data information, a Bayesian failure number prediction method was developed. The research results have value for making operation plans and reserve strategies for electricity meters.<\/jats:p>","DOI":"10.3390\/s22249804","type":"journal-article","created":{"date-parts":[[2022,12,14]],"date-time":"2022-12-14T03:21:52Z","timestamp":1670988112000},"page":"9804","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Failure Prediction and Replacement Strategies for Smart Electricity Meters Based on Field Failure Observation"],"prefix":"10.3390","volume":"22","author":[{"given":"Xianguang","family":"Dong","sequence":"first","affiliation":[{"name":"State Grid Shandong Electric Power Company Metering Service Marketing Center, Jinan 250001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Jing","sequence":"additional","affiliation":[{"name":"State Grid Shandong Electric Power Company Metering Service Marketing Center, Jinan 250001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjie","family":"Dai","sequence":"additional","affiliation":[{"name":"State Grid Shandong Electric Power Company Metering Service Marketing Center, Jinan 250001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pingxin","family":"Wang","sequence":"additional","affiliation":[{"name":"State Grid Shandong Electric Power Company Metering Service Marketing Center, Jinan 250001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhen","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Sensor and Reliability Engineering, Harbin University of Science and Technology, Harbin 150080, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Chen, J., Zhong, C., Chen, J., Han, Y., Zhou, J., and Wang, L. 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