Univ logo Fault Diagnosis for Power Transmission Line using Statistical Methods Yuanjun Guo Prof. Kang Li Queen’s University, Belfast UKACC PhD Presentation.

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Presentation transcript:

Univ logo Fault Diagnosis for Power Transmission Line using Statistical Methods Yuanjun Guo Prof. Kang Li Queen’s University, Belfast UKACC PhD Presentation Showcase

Univ logo UKACC PhD Presentation Showcase Slide 2 Background Huge data

Univ logo UKACC PhD Presentation Showcase Slide 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

Univ logo UKACC PhD Presentation Showcase Slide 4 Research methodology  Principal Component Analysis  Support Vector Machine  PLS, ICA, PCR etc.

Univ logo UKACC PhD Presentation Showcase Slide 5 Current status

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

Univ logo UKACC PhD Presentation Showcase Slide 7 Future work  Develop extensions to identify the nonlinear relations of the process variables;  Develop nonlinear and dynamic extensions to identify the nonlinear relations of the process variables;  for SVMs to achieve better classification results.  Optimize or select parameters for SVMs to achieve better classification results.  Research the application in power lines.  Research the application in power transmission lines.

Univ logo UKACC PhD Presentation Showcase Slide 8