| Paper |
Title |
Page |
| S08NC08 |
Network Communication Libraries for the Next Control System of the KEK e⁻/e⁺ Linac |
318 |
| |
- 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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| |
| S11LLC02 |
Device Controllers Using an Industrial Personal Computer of the PF 2.5-GeV Electron Linac at KEK |
378 |
| |
- Y. Otake, K. Kakihara, K. Nakahara, Y. Ogawa, S. Ohsawa, T. Shidara, M. Yokota
KEK, Ibaraki, Japan
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Device controllers for electron guns and slits using an industrial personal computer have been designed and installed in the Photon Factory 2.5-Ge V Electron Linac at KEK. The design concept of the controllers is to realize a reliable system and good productivity of hardware and software by using an industrial personal computer and a programmable sequence controller. The device controllers have been working reliably for several years.
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-ICALEPCS1991-S11LLC02
|
|
| 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)
|
|
| |
| S17AIA01 |
Development of a Diagnostic System for Klystron Modulators Using a Neural Network |
558 |
| |
- 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
|
|
| 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)
|
|
| |
| S17AIA02 |
Diagnostic Expert System in the RF Linac |
562 |
| |
- 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
|
|
| 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)
|
|
| |