|Automated Weep Hole Crack Detection Using Neural Networks
holes are found in the risers of wing structures in C-141 aircraft.
Two types of fatigue cracks have been observed to emanate from these holes,
top cracks which emanate upward and bottom cracks which propagate downward
toward the wing surface. Due to constraints on the placement of transducers,
special ultrasonic inspection techniques were investigated for detecting
and sizing cracks at bottom and top locations.
network assisted, automated inspection technique for bottom and top
crack detection of weep holes was implemented. Toward achieving this
goal, the value of numerical simulation, experimentation and training using
samples representing in-field variation, in-field demonstration, parametric
sensitivity studies, and probability of detection validation is demonstrated.
The performance of the automated procedure was found to exceed prescribed
requirements and inspection through viewing C-scan images.
For more information,
see Chapter 3: Case Study for the
Implementation of an Automated Ultrasonic Technique to Detect Fatigue Cracks
in Aircraft Weep Holes