Fault Characterisatio a D Classificatio Usi G Wavelet a D Fast Fourier Tra Sforms
نویسندگان
چکیده
In order to improve the power quality maintenance and reliability of power supply, different types of faults on the transmission line namely: open-circuit (OC), short-circuit (SC), high impedance faults (HIF) and the fault caused by direct lightning strike (LS) have been investigated in this paper. The disturbances have been modelled and simulated using a well-known transient simulation tool Alternative Transient Program/ Electromagnetic Transient Program (ATP/EMTP) and the resulting data are then imported into MATLAB for the investigation on the traveling wave (TW) reflection pattern and harmonic behaviour . Study on the characteristics of the faults in terms of their corresponding frequency spectrum, the polarities of the incident-wave and reflected-wave has been performed and the possibility to differentiate the type of fault is explored. For this purpose, the fault on the wave has been created at the moment when the voltage signal reaches its peak and also when it is close to zero. Both, Wavelet Transform (WT) and Fast Fourier Transform (FFT) methods have been used to analyze the transient signals generated by the fault. Model of the network used in this study is taken from [1]-[2]. Key-words: WT, FFT, ATP/EMTP, current reflection pattern, and spectrum analysis
منابع مشابه
Condition 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 کاملA Comparative Study of FFT, STFT and Wavelet Techniques for Induction Machine Fault Diagnostic Analysis
-Motor Current Signature Analysis (MCSA) has been successfully used for fault diagnosis in induction machines. The current spectrum of the induction machine for locating characteristic fault frequencies is used in MCSA. The spectrum is obtained using a Fast Fourier Transformation (FFT) that is performed on the signal under analysis. The fault frequencies occur in the motor current spectra are u...
متن کاملApplication of Wavelet Packet Transform (WPT) for Bearing Fault Diagnosis
The bearings are the most important mechanical elements of rotating machinery. They are employed to support and rotate the shafts in rotating machinery. On the other hand, any fault in bearing can lead to losses on the level of production and equipments as well as creation an unsafe working environment for human. For these reasons, Condition monitoring and fault diagnosis of these bearings has ...
متن کاملFault Detection of Pipeline in Water Distribution Network System
Water pipe network is installed underground and once equipped, it is difficult to recognize the state of pipes when the leak or burst happens. Accordingly, post management is often delayed after the fault occurs. Therefore, the systematic fault management system of water pipe network is required to prevent the accident and minimize the loss. In this work, we develop online fault detection syste...
متن کاملWavelet Analysis And Envelope Detection For Rolling Element Bearing Fault Diagnosis A Comparative Study
Envelope Detection (ED) is traditionally always used with Fast Fourier Transform (FFT) to identify the rolling element bearing faults. The inability of FFT to detect non-stationary signals makes Wavelet Analysis (WA) an alternative for machinery fault diagnosis as WA can detect both stationary and non-stationery signals. A comparative study of ED with FFT and WA techniques for bearing fault dia...
متن کامل