Modeling and Identification for Anomaly detection in Mechanical System

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.

Autorentext

Amol Khatkhate received the Ph.D. degree in MechanicalEngineering in August 2006 from Pennsylvania StateUniversity,USA.He also received his Masters in ElectricalEngineering in May 2005 from PennState,USA.His researchinterests include fiber optics,pattern recognition and structuralhealth monitoring (SHM) of composite aircraft structures.

Klappentext

The main objective of the work reported in thismonograph is the fabrication of an experimentalapparatus to detect slowly evolving anomalies (i.e.,decrease in stiffness due to fatigue failure)in complex mechanical systems at an early stage byobserving time series data of the availableultrasonic and performance measuring sensors. Theinformation on evolving anomaly will serve as aninput to the life extending control policy that will,in turn, generate corrective actions to mitigatefatigue crack damage in the specimen structures andthereby extend the remaining life of the systemwithout any significant loss in performance.The monograph presents the design requirements forthe experimental testbed. Physical modeling gives outthe expected resonant frequencies. Finally, systemidentification presents the actual resonantfrequencies achieved from the setup and compares thesame with the theoretical physical model. Themonograph discusses the proximity of the resonantfrequencies achieved through physical modeling andsystem identification and presents conclusions on thesame.