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Modeling and Identification for Anomaly detection in Mechanical System. Edition No. 1

VDM Publishing House, March 2009, Pages: 60

The main objective of the work reported in this
monograph is the fabrication of an experimental
apparatus to detect slowly evolving anomalies (i.e.,
decrease in stiffness due to fatigue failure)
in complex mechanical systems at an early stage by
observing time series data of the available
ultrasonic and performance measuring sensors. The
information on evolving anomaly will serve as an
input to the life extending control policy that will,
in turn, generate corrective actions to mitigate
fatigue crack damage in the specimen structures and
thereby extend the remaining life of the system
without any significant loss in performance.
The monograph presents the design requirements for
the experimental testbed. Physical modeling gives out
the expected resonant frequencies. Finally, system
identification presents the actual resonant
frequencies achieved from the setup and compares the
same with the theoretical physical model. The
monograph discusses the proximity of the resonant
frequencies achieved through physical modeling and
system identification and presents conclusions on the
same.

Amol, Khatkhate.
Amol Khatkhate received the Ph.D. degree in Mechanical
Engineering in August 2006 from Pennsylvania State
University,USA.He also received his Masters in Electrical
Engineering in May 2005 from PennState,USA.His research
interests include fiber optics,pattern recognition and structural
health monitoring (SHM) of composite aircraft structures.