Predicting lifetime of thick Al wire bonds using signals obtained from ultrasonic generator
Routine monitoring of the wire bonding process requires real-time evaluation and control of wire bond quality. In this paper, we present a nondestructive technique for detecting bond quality by the application of a semisupervised classification algorithm to process the signals obtained from an ultra...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/33374/ |