Font Size: a A A

Electrical Engineering Signal Processing Applications

Posted on:2009-10-26Degree:MasterType:Thesis
Country:ChinaCandidate:C H ChengFull Text:PDF
GTID:2192360245956290Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Power system is a complex and large system. With the development of system scale and automation, it demand higher requirements for the system relaying protection, automatic control equipments, online detection devices and quality control of electric power. Consequently, it needs faster and more accurate method to retrieve the information that can reflect the dynamic characteristics of system. The transient components are widely studied and applied in every field in power system because it have plenty of information. However, it is also difficult to extract and distinguish form other information. Therefore, many related mathematics knowledge and tools are applied into the signal processing in power system projects.Based on the signal processing in power system, signal processing methods studied widely and deeply in this thesis, which include classical filtering algorithm, wavelet transform, mathematical morphologic, HHT and S transform. Above methods are compiling to programs in MATLAB and C and used in the field of denoising, filtering, singularity detection and power quality of signal. The results of simulation show presented methods are effective. The main contents of this thesis are list as follows:1 Classical common used filtering algorithm are summarized.2 Wavelet analysis theory is study and used in the applications of denoising, filtering, system transient signals, signal singularity detection, traveling wave fault phase selection and traveling wave fault location.3 Mathematical morphologic theory is studied and its applications in detection of denoising, filtering and singularity detection of transient signals are also researched.4 HHT theory is studied and used in the applications of power quality detection, system low-frequency oscillation, signal denoising, signal filtering and detection of stable signal singularity. From this study, it is found that the HHT has unique advantage over traveling wave fault location. Therefore, a novel method of accurate fault location by HHT is presented.5 S-transform theory is studied the and its application in power quality detection is also studied. Based on S transform, a detection method for traveling wave is put forward for the first time.
Keywords/Search Tags:Flitering algorithm, wavelet analysis, HHT, Mathematical morphologic, S-transform
PDF Full Text Request
Related items