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Power quality analysis in electrical drives and a case study of artificial intelligence prediction algorithm for fault deterrent electrical drives

Kumarasamy Vishnu Murthy, Loganathan Ashok Kumar

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2022

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Vol. 70, nr 3

art. no. e141180

EN

Since electrical drives have become an integral element of any industrial sector, power quality difficulties have been well expected, and delivering genuine quality of the same has proven to be a difficult challenge. Since power quality relies on load side non-linearity and high semiconductor technology consumption, it is a serious concern. The efficiency of the drive segment employed in the sector is increasingly becoming a topic of discussion in today’s market. Numerous reviews of available literature have found problems with the load side as well as with electrical drive proficiency, as a result of the issues listed above. A high level of power quality vulnerability is simply too much. Even the most advanced technology has its limits when it comes to drive operation. Research on the grid-side quality issues of electrical drives is the focus of this article. After field testing of grid power quality, each parametric analysis is performed to identify crucial parameters that can cause industrial drives to fail. Based on this discovery, a machine learning strategy was developed and an artificial intelligence technique was proposed to administer the fault deterrent prediction algorithm. An accurate forecast of anomalous behavior on the grid side ensures safe and dependable grid operation such that shutdown or failure probability is minimized to a greater extent by the results. Additional information gleaned from historical data will prove useful to equipment manufacturers in the future, providing a solution to this problem.

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Steady-state time-periodic finite element analysis of a brushless DC motor drive considering motion

Jagieła M., Gwóźdź J.

Archives of Electrical Engineering

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2015

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Vol. 64, nr 3

471--486

EN

This paper aims at providing a framework for comprehensive steady-state time-domain analysis of rotating machines considering motion. The steady-state waveforms of electromagnetic and circuit quantities are computed via iterative solution of the nonlinear field-circuit-and-motion problem with constraints of time periodicity. The cases with forced speed and forced load torque are considered. A comparison of execution times with a conventional time-stepping transient model is carried out for two different machines. The numerical stability of a time-periodic model with forced speed is shown to be worse than that of traditional transient time-stepping one, although the model converges within a reasonable number of iterations. This is not the case if forced load via equation of mechanical balance is accounted for. To ensure convergence of the iterative process the physical equation of motion is replaced by the fixed-point equation. In this way the model delivers time-periodic solutions regarding not only the electromagnetic quantities but also the rotational speed.

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Normy kompatybilności EMC w napędach falownikowych w odniesieniu do falowników VACON

Björkman M., Kania K.

Napędy i Sterowanie

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2003

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R. 5, nr 5

28--30

PL

W ciągu ostatnich kilku lat kwestia kompatybilności elektromagnetycznej EMC stała się palącym problemem. Szczególnie w Europie, gdzie normy dotyczące EMC uchwalono w roku 1992, a w roku 1996 wprowadzono w życie, temat ten stał się tematem "dyżurnym".