Abstract
Machine Signature Classification involves the classification of types of faults associated with the wire-bonding machine through monitoring the damping signature. The condition of one machine could be determined at any instant of time. In this study, the parameters of signature of the machine used in the manufacturing of Integrated Circuit (IC) are going to be classified. Preliminary studies have shown that defect or fault associated with electro mechanical equipment is correlated to the electrical signature of the servo system. Using Exsys CORVID, the parameters of signature that best represent the characteristic of signature can be extracted. Damping signatures were collected using digital oscilloscope and spectrum analyser. From the parameters extracted, a set of data is obtained. Next, it is being tabulated or compared where afterward the machine condition can be determined. It can be good (can give a 100% accurate output) or defective and then list out what are the mechanical and electrical problems. In this study, the damping signature is chosen because the shape of the damping signature reflects the condition of the machine. Any distortion or abnormalities in the shape of the signature indicates a problem and the system will flag the machine operator whenever the rule-base is met.
Metadata
| Item Type: | Student Project |
|---|---|
| Creators: | Creators Email / ID Num. Mohammad Zubir, Noor Farheen UNSPECIFIED |
| Contributors: | Contribution Name Email / ID Num. Advisor Ahmad, Putri Aidawati UNSPECIFIED Advisor Sharif, Zaiton UNSPECIFIED |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Applications of electronics |
| Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
| Programme: | Bachelor of Electrical Engineering (Honours) |
| Keywords: | Machine signature, CORVID variable, Wire bonding machine |
| Date: | 2002 |
| URI: | https://ir.uitm.edu.my/id/eprint/115150 |
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