Сontrol methods review of induction motors technical state during operation
نویسندگان
چکیده
منابع مشابه
A Review of Application of Signal Processing Techniques for Fault Diagnosis of Induction Motors – Part I
Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fete...
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In many real systems in which a state variable should be controlled for being in appropriate range, the length of control (review) intervals is taken to be constant. In such systems, when the cost of reviews and out-of-range values of the state variable are considerable, this method may not be optimal. In this paper we let the length of review intervals to be variable during each operating cycl...
متن کاملApplication of Signal Processing Tools for Fault Diagnosis in Induction Motors-A Review-Part II
The use of efficient signal processing tools (SPTs) to extract proper indices for the fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The 2nd part of this two-part paper is, in turn, divided into two parts. Part two covers the signal processing techniques which can be applied to non-stationary conditions. In this paper, all utilized SPTs for n...
متن کاملReview of ANFIS-based control of induction motors
This paper reviews the use of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for vector-controlled induction motor drives. While conventional schemes do not deal well with the highly nonlinear nature of motor control, fuzzy logic with its adjustability and neural networks with their adaptability have been shown to be excellent alternatives. ANFIS combines the advantages of fuzzy logic and neura...
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ژورنال
عنوان ژورنال: Вестник Пермского национального исследовательского политехнического университета. Геология. Нефтегазовое и горное дело
سال: 2013
ISSN: 2224-9923
DOI: 10.15593/2224-9923/2013.7.13