Bearing Fault Detection in Induction Motor Using Fast Fourier Transform
نویسندگان
چکیده
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 occurred fault in induction motor. We collect vibration signal of induction motor with and without ball bearing fault. Characteristic frequencies of ball bearing are observed and calculated for acquired vibration signal.
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 کاملCondition monitoring methods, failure identification and analysis for Induction machines
Induction motors are a critical component of many industrial processes and are frequently integrated in commercially available equipment and industrial processes. The studies of induction motor behavior during abnormal conditions, and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. The Motor Current Signature Analysis ...
متن کاملDetection of Bearing Faults in Mechanical Systems Using Motor Current Signature and Acoustic Signatures
Bearings are one of the critical components which fail often in rotating machinery during operation. Bearing faults in the mechanical system run by an induction motor causes change in its stator current spectrum. It is due to the fact that faults in the bearings cause variations of load irregularities in the magnetic field which in turn change the mutual and self inductance causing side bands a...
متن کاملVibration Monitoring for Electrical Equipment Faults Detection Using Fast Fourier Transform
This paper describes vibration diagnosis based on electric faults. These faults could appear in electrical equipment in general, but this paper focuses on the case of transformer, induction and dc motor. In order to do the diagnosis there are analysed vibration signals from the piezoelectric accelerometer. This accelerometer is installed on the frame of the equipment. The signals acquired are a...
متن کاملNonlinear and Non-stationary Vibration Analysis for Mechanical Fault Detection by Using EMD-FFT Method
The Hilbert-Huang transform (HHT) is a powerful method for nonlinear and non-stationary vibrations analysis. This approach consists of two basic parts of empirical mode decomposition (EMD) and Hilbert spectral analysis (HSA). To achieve the reliable results, Bedrosian and Nuttall theorems should be satisfied. Otherwise, the phase and amplitude functions are mixed together and consequently, the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013