نتایج جستجو برای: stator fault
تعداد نتایج: 67833 فیلتر نتایج به سال:
This paper deals with detection and diagnosis of Stator Inter turn fault of three phase Induction motor. The proposed method is based on the stator current Clarke vector pattern. Three phase stator currents are used to construct Clarke vector pattern in order to distinguish the “healthy” and “faulty” condition of induction motor. The covered area for each pattern is calculated and the per unit ...
This paper presents a parametric low differential order model, suitable for mathematically analysis for Induction Machines with faulty stator. An adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous–time model with discrete measurements for fault detection ends. Typical motor faults as interturn short circuit and increased winding resistance ...
This paper proposes a novel scheme for detecting and classifying faults in stator windings of a synchronous generator (SG). The proposed scheme employs a new method for fault detection and classification based on Support Vector Machine (SVM). Two SVM classifiers are proposed. SVM1 is used to identify the fault occurrence in the system and SVM2 is used to determine whether the fault, if any, is ...
This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...
This paper presents the performances evaluation of different wavelet transform under broken rotor bars fault diagnosis. In this report, stator phase current was used for wavelet analysis. Discrete wavelet transform (DWT) coefficients of stator current in a specific frequency band are derived and analyzed. Wavelets db8, db9, db10, sym7 and sym8 are employed to analyze broken bar distorted stator...
The three-phase shift between line current and phase voltage of induction motors can be used as an efficient fault indicator to detect and locate inter-turn stator short-circuit (ITSC) fault. However, unbalanced supply voltage is one of the contributing factors that inevitably affect stator currents and therefore the three-phase shift. Thus, it is necessary to propose a method that is able to i...
This document presents a method of on-line fault diagnosis for iron core of induction motor stator based on adaptive observer. Due to the equivalent resistance is directly affected by the stator core fault, while the iron loss is considered in the series iron loss model of the induction motor, so we can determine the core fault state by identifying equivalent iron consumption resistance. In thi...
This paper discusses a novel method for motor fault detection under varying load conditions. Winding Function Approach (WFA) is used to develop a mathematical model to provide indication references for parameters under different load levels and different fault situations. Broken bar defects reference indexes are developed to assess rotor fault severity based on stator current and rotor speed. S...
In this paper, we try to detect mechanical faults of induction motors. For this goal, the stator line current of motor is considered. Wavelet Packet Decomposition of this signal can provide good information about the occurrence, type and size of the fault. But it is better to have more understandable concept for an operator to find fault. Hence, fuzzy system is applied to wavelet features. Ecce...
Numerical magnetic field analysis and signal processing for fault diagnostics of electrical machines
Numerical magnetic field analysis is used for predicting the performance of an induction motor and a slip-ring generator having different faults implemented in their structure. Virtual measurement data provided by the numerical magnetic field analysis are analysed using modern signal processing techniques to get a reliable indication of the fault. Support vector machine based classification is ...
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