Anomaly detection in electromechanical systems using symbolic dynamics [electronic resource] /

by Khatkhate, Amol M.

Abstract (Summary)
The full text of the dissertation is available as a Adobe Acrobat .pdf file (152 p.) ; Adobe Acrobat Reader required to view the file.
Bibliographical Information:


School:Pennsylvania State University

School Location:USA - Pennsylvania

Source Type:Master's Thesis

Keywords:structural health monitoring symbolic dynamics diagnostics prognostics electromechanical systems pattern identification


Date of Publication:

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