Detection of an End-Ring Fault in Asynchronous Machines by Spectrum Analysis of the Observed Electromagnetic Torque

نویسندگان

  • Hamed Yahoui
  • Guy Grellet
چکیده

For asynchronous machines, 20% of the failures are due to the rotor [1] and particularly the end-ring fault of cage motors. Studies [2,4] have shown that a rotor fault generates flux harmonics which induce in term of harmonics in the stator currents. So, the analysis of the torque which is the product of these two quantities, must give a better information on the faults. In this paper a new technique is presented allowing the diagnostic of an end-ring fault of a cage threephase asynchronous machine. Previous researches by the authors [5j hm,e given the expression of the instantaneous electromagnetic torque with these defects influence. It has been observed actually that the ruptures influence greatly this quadratic quantity. The torque was calculated from the line currents and the e-m-f across flux sensors placed in the stator windings. In this method, the flux sensors are not essential to determine the electromagnetic torque. The i'otor flux can be directly estimated by using an observer. This study presents ho~v a model of the asynchronous machine is used to build the observer. 1. Measurement of the Electromagnetic Torque

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigating Direct Torque Control of Six-Phase Induction Machines Under Open Phase Fault Conditions

This paper presents analysis and evaluation of classical direct torque control(DTC), for controlling a symmetrical six phase induction motor (SPIM) under open phasefault conditions. The machine has two three-phase windings spatially shifted by 60 electricaldegrees. The strategy of the proposed method consists of choosing the switching modesaccording to the configuration of living phases in such...

متن کامل

Analytical Modeling of Magnetic Field Distribution in Inner Rotor Brushless Magnet Segmented Surface Inset Permanent Magnet Machines

Brushless permanent magnet surface inset machines are interested in industrial applications due to their high efficiency and power density. Magnet segmentation is a common technique in order to mitigate cogging torque and electromagnetic torque components in these machines. An accurate computation of magnetic vector potential is necessary in order to compute cogging torque, electromagnetic torq...

متن کامل

Stator Fault Detection in Induction Machines by Parameter Estimation Using Adaptive Kalman Filter

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 ...

متن کامل

Fault Detection Method on a Compressor Rotor Using the Phase Variation of the Vibration Signal

The aim of this work is the application of the phase variation in vibration signal for fault detection on rotating machines. The vibration signal from the machine is modulated in amplitude and phase around a carrier frequency. The modulating signal in phase is determined after the Hilbert transform and is used, with the Fast Fourier Transform, to extract the harmonics spectrum in phase. This me...

متن کامل

Comparison of the Eccentricity Faults Effects on the Performance of several Toroidal Wounded Axial Flux Permanent Magnet Motors

Eccentricity fault is one the most common fault types of disk-type permanent magnet machines, which could lead to devastating effects. Unfortunately, most of the previous works have studied this fault and its detection techniques for slotted structure with common winding. Therefore, in this paper, the effects of eccentricity faults on the performance of single-sided slotted, single-sided slotle...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016