Abstract
In this paper, a new model for estimating the remaining electrical life of the AC contactor is proposed. The model involves an equation that use the rated and operational parameters, material properties and geometries to estimate electrical health of contactor. The variation in the contact resistance as a function of time is found varying in accordance with the remaining electrical life of the contactor. This characteristic parameter along with the data regarding the quantity of material lost at the contact surface has been fed as the sample data for the machine learning model. The sample data is carefully chosen from the contactors operating at different environmental conditions and utilization categories to include wide range of data. Using the collected data from contactors operating in varied environments and utilization categories a Stochastic Gradient Descent Classifier model is generated and used to estimate the remaining electrical life.
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This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation.
IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process.
IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further.
[1] Cabanac G, Labbé C and Magazinov A 2021 arXiv:2107.06751v1
Retraction published: 23 February 2022