A new approach to detect broken rotor bars in induction machines by current spectrum analysis
نویسندگان
چکیده
In this paper, a new technique to detect broken rotor bars in polyphase induction machines is presented. Like most techniques, we employ the Fourier Transform of one stator current to make detection. But where the other methods use the Fourier Transform modulus, we propose an alternative approach by analyzing its phase. As shown by results, the Fourier Transform phase allows to detect one broken rotor bar when the motor operates under a low load. In order to improve the diagnosis and to permit the detection of incipient broken rotor bar, we complete the analysis with the Hilbert Transform. This transform provides good results and a partially broken rotor bar can be detected when the load torque is equal or greater than 25%. The main advantage of these methods is that it does not require a healthy motor reference to take the final decision on the rotor cage state. keywords : Phase analysis, Fourier Transform, Hilbert Transform, Fault diagnosis, Induction machines.
منابع مشابه
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 o...
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 کاملFault Detection of Broken Rotor Bars Using Stator Current Spectrum for the Direct Torque Control Induction Motor
The numerous qualities of squirrel cage induction machines enhance their use in industry. However, various faults can occur, such as stator short-circuits and rotor failures. In this paper, we use a technique based on the spectral analysis of stator current in order to detect the fault in the machine: broken rotor bars. Thus, the number effect of the breaks has been highlighted. The effect is h...
متن کاملExact Modeling and Simulation of Saturated Induction Motors with Broken Rotor Bars Fault using Winding Function Approach
Winding function method (WFM) provides a detailed and rather simple analytical modeling and simulation technique for analyzing performance of faulty squirrel-cage induction motors (SCIMs). Such analysis is mainly applicable for designing on-line fault diagnosis techniques. In this paper, WFM is extended to include variable degree of magnetic saturation by applying an appropriate air gap functio...
متن کاملBroken Rotor Bars Detection in Squirrel-cage Induction Machines by Motor Current Signature Analysis Method
Condition monitoring is an important issue in the maintenance of electrical machines. In the last years several methods for fault diagnosis of the squirrel-cage induction motors were cited in the literature. Among these methods the Motor Current Signature Analysis (MCSA) is considered the most effective non-invasive fault detection method, because it can easily detect all the common electrical ...
متن کامل