Fault Diagnosis in Induction Motor
نویسندگان
چکیده
The paper demonstrates simulation and steady-state performance of three phase squirrel cage induction motor and detection of rotor broken bar fault using MATLAB. This simulation model is successfully used in the fault detection of rotor broken bar for the induction machines. A dynamic model using PWM inverter and mathematical modelling of the motor is developed. The dynamic simulation of the small power induction motor is one of the key steps in the validation of the design process of the motor drive system and it is needed for eliminating advertent design errors and the resulting error in the prototype construction and testing. The simulation model will be helpful in detecting the faults in three phase induction motor using Motor current signature analysis. KeywordsSquirrel Cage Induction Motor, Pulse Width Modulation (PWM)
منابع مشابه
Stator Turn-to-Turn Fault Detection of Induction Motor by Non-Invasive Method Using Generalized Regression Neural Network
Condition monitoring and protection methods based on the analysis of the machine's current are widely used according to non-invasive characteristics of current transformers. It should be noted that, these sensors are installed by default in the machine control center. On the other hand, condition monitoring based on mathematical methods has been proposed in literature. However, they are model b...
متن کاملOptimal Rotor Fault Detection in Induction Motor Using Particle-Swarm Optimization Optimized Neural Network
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...
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 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 کاملDesign of an Active Approach for Detection, Estimation and Short-Circuit Stator Fault Tolerant Control in Induction Motors
Three phase induction motors have many applications in industries. Consequently, detecting and estimating the fault and compensate it in a way that the faulty induction motor satisfies the predefined goals are important issues. One of the most common faults in induction motors is the short circuit of the stator winding. In this paper, an active fault-tolerant control system is designed and pres...
متن کاملOn Line Fault Identification of Induction Motor using Fuzzy System
It is well known that Induction motors are used worldwide as the “workhorse” in industrial applications. Although, these electromechanical devices are highly reliable, they are susceptible to many types of faults. Such fault can become catastrophic and cause production shutdowns, personal injuries and waste of raw material. However, induction motor faults can be detected in an initial stage in ...
متن کامل