Paper |
Title |
Page |
S02SRU09 |
Upgrade Plan for the Control System of the KEK e⁻/e⁺ Linac |
89 |
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- K. Furukawa, N. Kamikubota, K. Nakahara, I. Abe
KEK, Ibaraki, Japan
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The KEK 2.5-GeV linac has been operating since 1982. However, in order to maintain reliable operation, the control system should be upgraded within a few years. We plan to replace the minicomputers and the main network connecting them. Thus, the architecture of the control software will also be revised. In the new system we should adopt software and hardware standards. In the next control system we will employ the TCP/IP (DARPA) protocol suite for the main network and Unix workstations to replace the minicomputers. For connections to the local controllers, VME bus (IEEE 1014) will be utilized.
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-ICALEPCS1991-S02SRU09
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About • |
Received ※ 11 November 1991 — Accepted ※ 20 November 1991 — Issued ※ 04 December 1992 |
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S08NC08 |
Network Communication Libraries for the Next Control System of the KEK e⁻/e⁺ Linac |
318 |
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- N. Kamikubota, I. Abe, K. Furukawa, K. Nakahara
KEK, Ibaraki, Japan
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The network communication libraries for the next control system of the KEK Linac have been developed. They are based on TCP/IP sockets, and show high availability among the different operating systems: UNIX, VAX/VMS, and MS-DOS. They also show high source portability of application programs among the different computer systems provided by various vendors. The performance and problems are presented in detail.
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-ICALEPCS1991-S08NC08
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About • |
Received ※ 11 November 1991 — Accepted ※ 20 November 1991 — Issued ※ 04 December 1992 |
|
Cite • |
reference for this paper using
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S17AIA01 |
Development of a Diagnostic System for Klystron Modulators Using a Neural Network |
558 |
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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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reference for this paper using
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S17AIA02 |
Diagnostic Expert System in the RF Linac |
562 |
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- I. Abe, K. Nakahara
KEK, Ibaraki, Japan
- M. Kitamura
Tohoku University, School of Science, Sendai, Japan
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A prototype diagnostic expert system (ES) was developed for the Photon Factory 2.5-GeV electron/ positron LINAC injector system. The ES has been on-lined with the conventional linac computer network for receiving real data. This project was undertaken in an attempt to reduce the linac operator’s mental workload, diagnosis duties, and to explore Artificial Intelligence (AI) technologies. The outlook for ES and its problems, and what has been achieved are outlined in this presentation.
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DOI • |
reference for this paper
※ doi:10.18429/JACoW-ICALEPCS1991-S17AIA02
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|
About • |
Received ※ 11 November 1991 — Accepted ※ 20 November 1991 — Issued ※ 04 December 1992 |
|
Cite • |
reference for this paper using
※ BibTeX,
※ LaTeX,
※ Text/Word,
※ RIS,
※ EndNote (xml)
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