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@article{142637,
        author = {Prof. Mrs. Swapna Arun Patokar and Prof. Arun M. Patokar},
        title = {Identification of faults in series compensated transmission line by using wavelet transform},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {5},
        pages = {40-45},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142637},
        abstract = { 
Abstract— Protecting Transmission lines is important task to safe guard electrical power system. Faults on transmission line should be detected & classified accurately for reliable operation of power system. Firstly such analysis facilitates assessment of fault event and enables protective actions. Secondly restoration measures can be under taken soon after the fault. If we could not be able to detect the faults accurately, it may lead to low power quality and can cause serious problem etc. Existing methods for detection of power disturbances are laborious since they are primarily based on visual inspection of waveforms. More over most of the existing methods are based on deterministic methods. They do not have the ability to adapt dynamically to the system operating conditions and make correct decisions if the signals are uncertain. The solution to the above difficulty is  Wavelet Transforms which implements multi resolution analysis, in this paper identification algorithm is proposed and analyzed  by using db4 wavelet.
},
        keywords = {Transmission line Protection, Wavelet, fault identification, compensation, discriminating signal.},
        month = {},
        }