Abstract
The paper addresses the issues of diagnosis and prognosis of fatigue failure in mechanical systems using symbolic time series analysis (STSA) of ultrasonic sensor data. Specifically, the paper presents a statistical analysis procedure for online estimation of remaining fatigue life in polycrystalline alloys using STSA-based information from an ensemble of fatigue experiments. This real-time information is useful for monitoring the evolving fatigue damage and life extending control of mechanical structures for prevention of widespread failures. The concept is experimentally validated on 7075-T6 aluminum alloy specimens on a special-purpose fatigue test apparatus that is equipped with ultrasonic flaw detectors and an optical travelling microscope.
Original language | English (US) |
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Title of host publication | Proceedings of the 2007 American Control Conference, ACC |
Pages | 1149-1154 |
Number of pages | 6 |
DOIs | |
State | Published - Dec 1 2007 |
Event | 2007 American Control Conference, ACC - New York, NY, United States Duration: Jul 9 2007 → Jul 13 2007 |
Other
Other | 2007 American Control Conference, ACC |
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Country/Territory | United States |
City | New York, NY |
Period | 7/9/07 → 7/13/07 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering