Paper | Title | Other Keywords | Page |
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S04SRS03 | Status of the Control and Beam Diagnostic Systems of the CRYRING Project | controls, detector, timing, hardware | 167 |
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CRYRING is a facility for research in atomic, molecular and nuclear physics. It uses a cryogenic electron beam ion source, CRYSIS, together with an RFQ linear accelerator as injector into a synchrotron/storage ring for very highly charged, heavy ions. The first circulating beam was achieved in December 1990. The status of the systems for control and beam diagnostics are described. | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS1991-S04SRS03 | ||
About • | Received ※ 11 November 1991 — Accepted ※ 20 November 1991 — Issued ※ 04 December 1992 | ||
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S11LLC06 | Beam Position Monitor Multiplexer Controller Upgrade at the LAMPF Proton Storage Ring | controls, software, timing, interface | 393 |
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Funding: Work supported by the U.S. Department of Energy The beam position monitor (8PM) is one of the primary diagnostic tools used for the tuning of the proton storage ring (PSR) at the Clinton P. Anderson Meson Physics Facility (LAMPF). A replacement for the existing, monolithic, wire-wrapped microprocessor-based BPM multiplexer controller has been built. The controller has been redesigned as a modular system retaining the same functionality of the original system built in 1981. Individual printed circuit cards are used for each controller function to insure greater maintainability and ease of keeping a spare parts inventory. Programmable logic device technology has substantially reduced the component count of the new controller. Diagnostic software was written to support the development of the upgraded controller. The new software actually uncovered some flaws in the original CAMAC interface. |
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DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS1991-S11LLC06 | ||
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 | controls, linac, klystron, network | 558 |
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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. | |||
DOI • | reference for this paper ※ doi:10.18429/JACoW-ICALEPCS1991-S17AIA01 | ||
About • | Received ※ 11 November 1991 — Accepted ※ 20 November 1991 — Issued ※ 04 December 1992 | ||
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S17AIA02 | Diagnostic Expert System in the RF Linac | linac, network, controls, operation | 562 |
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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. | |||
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) | ||