Bearing Fault Detection in Induction Motor-Gearbox Drivetrain
نویسندگان
چکیده
منابع مشابه
Bearing Fault Detection in Induction Motor Using Fast Fourier Transform
ABSTACT: In the present scenario every industry need Condition Based Monitoring System to avoid unwanted faults in the process components. Vibration condition monitoring technique is widely used for fault detection. Vibration monitoring is the most reliable method of assessing the overall health of a motor system. In this paper we work on 2 Hp inductions motor. Ball bearing fault is widely occu...
متن کاملGearbox Fault Detection Nrel Gearbox Test Facility
the winD inDustry has experienceD a rapid expansion. As wind farms are aging, their operations and maintenance issues are gaining in significance. The wind industry has been affected by failures of wind turbine components such as main bearings, gearboxes, and generators. Replacement of failed components results in the high cost in energy production. Therefore, research in fault identification a...
متن کاملGearbox Fault Detection of Induction Motor Using Stator Current Signal Demodulation
All of the induction motor faults are not detect in beginning and late perception of these faults will cause to very lose tolerance. Thus, fault detection and identification in induction motors have high importance for industrial activities. One of the most fault detection methods is motor current signal analysis. In this paper, we use a new method with title induction motor stator current sign...
متن کاملGearbox Fault Detection by Motor Current Signature Analysis
In this paper the results of an experimental study on fault detection in a gearbox using motor current signature analysis is presented. Broken teeth and teeth wear have been artificially introduced in the gears as faults. Signal processing techniques like the multiresolution fourier transform (MFT) has been used for feature extraction from the current signals drawn by the induction motor drivin...
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 کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2012
ISSN: 1742-6596
DOI: 10.1088/1742-6596/364/1/012140