%0 Journal Article %1 srividyat2013identifying %A Srividya T, Mr. A. Muni Sankar %A Devaraju, Dr. T. %D 2013 %E kr. Thakur, Ajay %J Weekly Science %K (ST). (STFT) Fourier Power Quality S-transform Short Time Transform detection disturbance %N 1 %T Identifying, Classifying Of Power Quality Disturbances Using Short Time Fourier Transform And S-Transform %U http://weeklyscience.org/UploadedArticle/2.pdf %V 1 %X Power Quality has become an important issue for electric utilities and the customers. Electronic devices are sensitive and can be easily disturbed by distortion like voltage sag, voltage swell, Interruptions etc. in the electrical power supply. Power quality analysis has been of utmost importance to experts which helps in determining any disturbances in the network and proposes if any fault is present in the system. Through effective power monitoring, system errors can be classified at an earlier stage and thus the safety and reliability can be improved. The most widely used Techniques are FFT, STFT. Due to some of disadvantages and for the sake of quick power quality monitoring advanced DSP technique Techniques (S-transform) are used and the analysis provide accurate and fast detection of power quality disturbances. This paper presents comparing the simulation results of STFT and S-transform and results that S-transform provides faster detection and is very flexible compared to STFT using IEEE data of 230kv substation 12

@article{srividyat2013identifying, abstract = {Power Quality has become an important issue for electric utilities and the customers. Electronic devices are sensitive and can be easily disturbed by distortion like voltage sag, voltage swell, Interruptions etc. in the electrical power supply. Power quality analysis has been of utmost importance to experts which helps in determining any disturbances in the network and proposes if any fault is present in the system. Through effective power monitoring, system errors can be classified at an earlier stage and thus the safety and reliability can be improved. The most widely used Techniques are FFT, STFT. Due to some of disadvantages and for the sake of quick power quality monitoring advanced DSP technique Techniques (S-transform) are used and the analysis provide accurate and fast detection of power quality disturbances. This paper presents comparing the simulation results of STFT and S-transform and results that S-transform provides faster detection and is very flexible compared to STFT using IEEE data of 230kv substation [12]}, added-at = {2014-08-16T07:31:54.000+0200}, author = {Srividya T, Mr. A. Muni Sankar and Devaraju, Dr. T.}, biburl = {https://www.bibsonomy.org/bibtex/28d39be94dbb5e63a89f743a09a498123/sciencejournal}, editor = {kr. Thakur, Ajay}, interhash = {de376f35eb6a7513de59b0ba61610ca2}, intrahash = {8d39be94dbb5e63a89f743a09a498123}, journal = {Weekly Science}, keywords = {(ST). (STFT) Fourier Power Quality S-transform Short Time Transform detection disturbance}, month = {July}, number = 1, timestamp = {2014-08-16T07:31:54.000+0200}, title = {Identifying, Classifying Of Power Quality Disturbances Using Short Time Fourier Transform And S-Transform }, url = {http://weeklyscience.org/UploadedArticle/2.pdf}, volume = 1, year = 2013 }