APPLICATION OF MATHEMATICAL REGRESSION TO THREE-PHASE ASYNCHRONOUS MOTOR PARAMETERS DETERMINATION

APPLICATION OF MATHEMATICAL REGRESSION TO THREE-PHASE ASYNCHRONOUS MOTOR PARAMETERS DETERMINATION

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Statistical spread of the electrical device parameters appears often to be a problem for their operation analysis and a precise determination of their optimum modes. Under such conditions, mathematical algorithms permitting to diagnose these devices with the accuracy sufficient for the engineer anal...

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Bibliographic Details
Main Authors: Vladimir Borisovich Vorzhev, Ivan Victorovich Kaliyenko
Format: Article
Language:Russian
Published: Don State Technical University 2018-06-01
Series:Вестник Донского государственного технического университета
Subjects:
mathematical regression
least squares method
moment-slip characteristic
electric devices diagnostics.
Online Access:https://vestnik.donstu.ru/jour/article/view/420
Description
Summary:Statistical spread of the electrical device parameters appears often to be a problem for their operation analysis and a precise determination of their optimum modes. Under such conditions, mathematical algorithms permitting to diagnose these devices with the accuracy sufficient for the engineer analysis are required. A new algorithm of calculating the moment-slip characteristic of the three-phase asynchronous motor is offered. It permits to determine its maximum torque and critical slip. To this end, the initial characteristic section obtained experimentally is processed statistically. This significantly universal technique of solving such electrotechnical problems is based on the common mathematical approaches. In this context, it can form the basis for the microprocessor-based electronic diagnostic device.
ISSN:1992-5980
1992-6006

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