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Fault Diagnosis for Power Transmission Line using Statistical Methods

Fault Diagnosis for Power Transmission Line using Statistical Methods. Yuanjun Guo Prof. Kang Li Queen’s University, Belfast. Background. Huge data. Problems & Motivation. Problems Curse of Dimensionality multivariate and correlated data Classification

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Fault Diagnosis for Power Transmission Line using Statistical Methods

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  1. Fault Diagnosis for Power Transmission Line using Statistical Methods YuanjunGuo Prof. Kang Li Queen’s University, Belfast UKACC PhD Presentation Showcase

  2. Background Huge data UKACC PhD Presentation Showcase

  3. Problems & Motivation • Problems • Curse of Dimensionality • multivariate and correlated data • Classification • various types of faults in transmission lines • Motivation • Dimension reduction • Balance the real time implementation and the accuracy UKACC PhD Presentation Showcase

  4. Research methodology • Principal Component Analysis • Support Vector Machine • PLS, ICA, PCR etc. UKACC PhD Presentation Showcase

  5. Current status UKACC PhD Presentation Showcase

  6. Conclusion UKACC PhD Presentation Showcase • Statistical approaches are capable of reduce the data dimensionality by capturing the relationship between the recorded variables from the data. • Provide confidential limit charts for the violate fault points. • Extract the featuresof the faulty signal under different faulty situations. • SVMs uses the features as input to classifythese faults correctly.

  7. Future work • Develop nonlinear and dynamic extensions to identify the nonlinear relations of the process variables; • Optimize or select parameters for SVMs to achieve better classification results. • Research the application in powertransmissionlines. UKACC PhD Presentation Showcase

  8. UKACC PhD Presentation Showcase

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