2014 Joint Statistical Meetings - Statistics: Global Impact - Past, Present and Future

JSM 2014 Online Program

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Activity Number:	649
Type:	Contributed
Date/Time:	Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
Sponsor:	Section on Physical and Engineering Sciences
Abstract #313557	View Presentation
Title:	A Robust Time Series Classification Method for Vibration-Based Damage Detection
Author(s):	Lei Jin*+
Companies:	Texas A&M
Keywords:	periodogram ; time series classfication ; damage detection ; heavy tailed ; robust
Abstract:	In the paper, a robust procedure for the time series classification is proposed, based on a set of estimating equations. A simulation study is conducted to examine the performance under various complex situations. In addition, the method is applied to a vibrational data for mechanical damage detection.

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