Induction Motors Faults Detection Based on Instanta- neous Power Spectrum Analysis with Elimination of the Supply Mains Influence
نویسندگان
چکیده
A method of induction motor diagnostics based on the analysis of three-phase instantaneous power spectra has been offered. Its implementation requires recalculation of induction motor voltages, aiming at exclusion from induction motor instantaneous three-phase power signal the component caused by supply mains dissymmetry and unsinusoidality. The recalculation is made according to the motor known electromagnetic parameters, taking into account the electromotive force induced in stator winding by rotor currents. The results of instantaneous power parameters computation proved efficiency of this method in case of supply mains voltage dissymmetry up to 20%. The offered method has been tested by experiments. Its applicability for detection of several stator and rotor winding defects appeared in motor simultaneously has been proved. This method also makes it possible to estimate the extent of defects development according to the size of amplitudes of corresponding harmonics in the spectrum of total three phase power signal.
منابع مشابه
Vibration and Current Monitoring for Fault’s Diagnosis of Induction Motors
In generally, detection and diagnosis of incipient faults is desirable for product quality assurance and improved operational efficiency of induction motors running off the power supply mains. In this paper, the vibration and current of an induction motor are analyzed in order to obtain information for the detection of bearing faults. Significant vibration and current spectrum differences betwe...
متن کاملInduction Motor Fault Diagnosis Based on Neuropredictors and Wavelet Signal Processing
Early detection and diagnosis of incipient faults is desirable for online condition assessment, product quality assurance and improved operational efficiency of induction motors running off power supply mains. In this paper, a model-based fault diagnosis system is developed for induction motors, using recurrent dynamic neural networks for transient response prediction and multi-resolution signa...
متن کاملNeural-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 کاملA Study of Motor Bearing Fault Diagnosis using Modulation Signal Bispectrum Analysis of Motor Current Signals
Failure of induction motors are a large concern due to its influence over industrial production. Motor current signature analysis (MCSA) is common practice in industry to find motor faults. This paper presents a new approach to detection and diagnosis of motor bearing faults based on induction motor stator current analysis. Tests were performed with three bearing conditions: baseline, outer rac...
متن کاملNeural-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 o...
متن کامل