Kalman Filtering and Torque Spectral Analysis for Broken Bar Detection in Induction Motors

نویسندگان

  • Mario Eltabach
  • Ali Charara
  • Ismail Zein
چکیده

Rotor asymmetries in induction machines perturb many components such as, flux patterns and electromagnetic torque. The supervision of these signals enables early detection of such faults and help to machine diagnostic. This paper studies the detection of rotor imperfection by spectral analysis of the electromagnetic torque computed by two rotor flux estimators. In the first approach, the Kalman filter is used assuming to be known the mechanical velocity. The second approach uses Extended Kalman Filter (EKF) for speed estimation. Experimental results show the great capability of these methods to detect this type of faults. Copyright C 2002 IFAC.

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

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...

متن کامل

Neural-Network-Aided On-line Diagnosis of Broken Bars inInduction Motors

This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in ord...

متن کامل

Neural-Network-Aided On-line Diagnosis of Broken Bars inInduction Motors

This paper presents a method based on neural networks to detect broken rotor bars and end rings in squirrel cage induction motors. In the first part, detection methods are reviewed and traditional methods of fault detection as well as dynamic&#10model of induction motors are introduced using the winding function method. In this method, all stator and rotor bars are considered independently in o...

متن کامل

Separation Harmonics to Discern Broken Bar Fault from Load Torque Oscillation in Three Phase Induction Motor

This paper presents separation harmonics to discriminate rotor failure from low frequency load torque oscillations in three phase induction motors. The most common method for detecting broken rotor bar faults is to analyze the corresponding sidebands through motor current signature analysis (MCSA). If a motor is subjected to load fluctuation, then the oscillation related sidebands exhibit simil...

متن کامل

Broken rotor bar fault detection in inverter-fed squirrel cage induction motors using stator current analysis and fuzzy logic

This paper presents the implementation of broken rotor bar fault detection in an inverter-fed induction motor using motor current signal analysis (MCSA) and prognosis with fuzzy logic. Recently, inverter-fed induction motors have become very popular because of their adjustable speed drive. They have been used in many vital control applications such as rolling mills, variable speed compressors, ...

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 2002