Performance Measurement Techniques for Adaptive Process Control.
Final rept. 1 Sep 66-30 Apr 68,
BENDIX RESEARCH LABS SOUTHFIELD MI
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In adaptive process control systems, an essential requirement is the availability of on-line feedback data indicative of the actual process performance. The measurement of such data often poses difficult design problems because available sensors are capable of measuring only certain process variables which are related to true performance by complex functions. Determination of these functions requires extensive collection and analysis of experimental data for all types of process conditions. This report describes a project conducted to systematize and simplify the performance and measurement problem. The approach to this objective was based on the use of a digital computer to implement a trainable pattern recognition data processing technique. The approach was demonstrated by designing and fabricating a prototype performance measurement system and by evaluating the system operating in conjunction with three diverse manufacturing processes a turning process lathe, an electron-beam welding process, and a grinding process. Author
- Manufacturing and Industrial Engineering and Control of Production Systems