Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment

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KSL-91-35 +  redirect page

Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment +  Has identifier

Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment +  Ksl tr id

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Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment

Bibtype  techreport

Has publishing details  December,1991

Has title  Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment

Has where published  KSL-91-35

Has year  1991

Title  Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment

Year  1991

Abstract  This paper describes efforts to apply AI m This paper describes efforts to apply AI methods to enhance the quality and efficiency of semiconductor manufacturing in a state-of-the-art fabrication device called the "rapid thermal multiprocessor(RTM)". Semiconductor fabrication involves many complex processing steps with limited opportunities for measurement of process and product properties. By applying more knowledge to that limited data, AI monitoring and control methods augment classical control methods through detection of abnormalities and trends, prediction of failures, diagnosis, planning of corrective action sequences, explanation of diagnoses or predictions, and reaction to anomalous conditions that classical control systems typically would not correct. An architecture for AI control is described that adapts to complex changing environments such as that foundin fabrication facilities. We illustrate architectural capabilities and our research efforts directed at reasoning about physical components of the RTM with scenarios from RTM wafer fabrication as well as from our parallel effort in monitoring intensive care patients. ort in monitoring intensive care patients.

Author  Janet Leeann Murdock and Barbara Hayes-Roth +

Has author  Janet Leeann Murdock and Barbara Hayes-Roth +

Has identifier  Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment +

Institution  Knowledge Systems, AI Laboratory +

Ksl tr id  Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment +

Month  December +

Number  Intelligent Monitoring and Control of Semiconductor Manufacturing Equipment +

Process note  YES +

Categories  KSL Technical Report +, Publication +, Technical Report +

 

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