Engineering Commons^™

Artificial Intelligence Approaches For Structural Health Monitoring Of Aerospace Structures, Kimberly A. Cardillo

Theses and Dissertations

Structural health monitoring (SHM) and non-destructive evaluation (NDE) have been a significant research topic to help with damage detection in aerospace structures. SHM and NDE techniques are based on extracting damage sensitive features to determine the criticality of damage and lifetime of a structure. Acoustic emission (AE) signal detection is an important technique in SHM and NDE especially for fatigue crack growth. AE signals for thin aerospace structures consist of ultrasonic guided Lamb waves that propagate through the structure. This thesis focuses on AE signal repeatability, load at which AE signals occur, feature extraction, artificial intelligence and electro-mechanical impedance of …

Damage Evaluation Of Rolling Element Bearings For Shipboard Machinery, Brenna Lyn Feirer

Theses and Dissertations

Rolling element bearings perform an essential role in most all rotating machinery. To prevent degradation to machine performance, unforeseen costs and unexpected system failure, bearing fault diagnosis and prognosis are used. Acoustic Emission (AE) introduces high sensitivity, early and rapid detection of cracking, and real time monitoring that can alarm once cracking is noticed.

The purpose of this research is to nondestructively monitor the crack growth in rolling element bearings in a marine environment and to determine the acoustic emission parameters which embody crack initiation and propagation. The intellectual merit lies in:

1. the signal alarm developed from an AE …