A neural-network method for diagnosing beam-position monitors in storage ring
SCIE
SCOPUS
- Title
- A neural-network method for diagnosing beam-position monitors in storage ring
- Authors
- Lee, JW; Cho, S; Yoon, M
- Date Issued
- 1998-01-01
- Publisher
- ELSEVIER SCIENCE BV
- Abstract
- We propose a neural-network method to diagnose beam-position monitors in a storage ring. Since a circulating beam in a storage ring passes through many beam-position monitors, there is a correlation among measurements of the orbit at the monitors. A perceptron is trained to predict the orbit at a particular beam-position monitor based on orbit measurements at other beam-position monitors. If the perceptron's prediction is significantly different from the actual measurement, the corresponding beam-position monitor is considered to be malfunctioning. Experimental results from the storage ring of the Pohang Light Source indicate that the scheme could be used for fault diagnosis of beam-position monitors in the storage ring. The accuracy of the perceptron's prediction is found to be better than that of the numerical approach based on the measured sensitivity matrix. The neural-network approach is mon economical, less disruptive and less time consuming than the numerical approach.
- Keywords
- storage ring; neural network; beam-position monitor
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/20903
- DOI
- 10.1016/S0168-9002(97)01063-2
- ISSN
- 0168-9002
- Article Type
- Article
- Citation
- NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, vol. 402, no. 1, page. 14 - 20, 1998-01-01
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.