Anomaly detection in electromechanical systems using symbolic dynamics [electronic resource] /
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:
Advisor:
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
ISBN:
Date of Publication: