WRC - BULLETIN 397
EMPIRICAL MODELING FOR REAL-TIME WELD PROCESS CONTROL AND GENERATOR MONITORING
active, Most Current
| Organization: | WRC |
| Publication Date: | 1 December 1994 |
| Status: | active |
scope:
Artificial Neural System (ANS) networks have been successfully developed for a variety of purposes. This WRC Bulletin discusses those for weld bead for weld parameter control; real-time penetration sensing using arc voltage monitoring only; and real-time engine health monitoring. Various ANS models can be combined to provide intelligent control of a welding or manufacturing process. When used appropriately, ANS is a powerful tool for dealing with real-life control and monitoring problems. Publication of this document - WRC Bulletin No. 397 was sponsored by the Welding Research Council
Document History
BULLETIN 397
December 1, 1994
EMPIRICAL MODELING FOR REAL-TIME WELD PROCESS CONTROL AND GENERATOR MONITORING
Artificial Neural System (ANS) networks have been successfully developed for a variety of purposes. This WRC Bulletin discusses those for weld bead for weld parameter control; real-time penetration...