Identification of Developing Defects in Electromechanical Energy Converters by Statistical Analysis of Changes in their Operational Characteristics
Received: 31 March 2025 | Revised: 15 April 2025 | Accepted: 27 April 2025 | Online: 5 May 2025
Corresponding author: Marinka Baghdasaryan
Abstract
The stable and efficient operation of Electromechanical Energy Converters (EECs) is largely determined by the early detection and prevention of developing defects. Early defect detection can be performed by monitoring changes in the behavior of the characteristic indicators/criteria of the EEC. Considering that EECs have a complex design and, in some cases, operate in non-standard modes and environments, a statistical analysis of changes in the most common indicators subject to monitoring is proposed. In this study, control charts of the dynamicity and asymmetry coefficients were generated using the Shewhart method to control the current state of the EEC. The necessary tests for selecting the values of the coefficients of dynamicity and asymmetry were performed on a physical model of the electromechanical system of a mill. The data were collected from electrical drive motors that were operated for 2 and 5 years. The charts generated by the average and range values of the dynamicity and asymmetric load coefficients showed that the change in the behavior of the characteristics was most significant when using an electric motor operated for five years. However, the evaluation of the results showed that the average values of the asymmetric load coefficient exceeded the limit value at more points than the dynamicity load coefficient. The findings of this study allow for the identification of EEC defects at an early stage of development and the implementation of appropriate measures to prevent them.
Keywords:
monitoring, electric motor, control charts, dynamicity coefficient, asymmetry coefficientDownloads
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Copyright (c) 2025 Marinka Baghdasaryan, Eduard Hakobyan, Liana Vardanyan, Sonik Alaverdyan, Davit Davtyan
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