Paper |
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S17AIA01 |
Development of a Diagnostic System for Klystron Modulators Using a Neural Network |
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- M. Mutoh, T. Oonuma, Y. Shibasaki
Tohoku University, School of Science, Sendai, Japan
- I. Abe, K. Nakahara
KEK, Ibaraki, Japan
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The diagnostic system for klystron modulators using a neural network has been developed. Large changes in the voltage and current of the main circuit in a klystron modulator were observed just several ten milli-seconds before the modulator experienced trouble. These changes formed a peculiar pattern that depended on the parts with problems. Diagnosis was possible by means of pattern recognition. The recognition test of patterns using a neural network has shown good results. This system, which is built in a linac control system, is presently being operated so as to collect new trouble patterns and to carry out tests for practical use.
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-ICALEPCS1991-S17AIA01
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About • |
Received ※ 11 November 1991 — Accepted ※ 20 November 1991 — Issued ※ 04 December 1992 |
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