Abstract
This paper illustrates the use of vibration signals and a genetic fuzzy system for fatigue damage detection in a cantilever beam. The beam is exposed to a harmonic excitation with varying levels of frequency and amplitude applied close to its fixed end. The accelerometer signals are analyzed for vibration signatures in the form of statistical moments, FFT and Wavelets analysis. It is found that the proposed genetic fuzzy logic system can be used as a successful classifier in identifying the presence and extent of damage in the beam.
| Original language | English (US) |
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| State | Published - 2016 |
| Event | Joint Conference on Machinery Failure Prevention Technology Conference, MFPT 2016 and ISA's 62nd International Instrumentation Symposium, IIS 2016 - Dayton, United States Duration: May 24 2016 → May 26 2016 |
Other
| Other | Joint Conference on Machinery Failure Prevention Technology Conference, MFPT 2016 and ISA's 62nd International Instrumentation Symposium, IIS 2016 |
|---|---|
| Country/Territory | United States |
| City | Dayton |
| Period | 5/24/16 → 5/26/16 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Mechanical Engineering
- Industrial and Manufacturing Engineering
- Control and Systems Engineering
- Computer Science Applications
- Safety, Risk, Reliability and Quality