Paper |
Title |
Page |
WEPAL055 |
TPS Beam Trip Analysis and Dose Distribution |
2302 |
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- B.Y. Chen, F.Y. Chang, S. Fann, C.S. Huang, C.H. Kuo, T.Y. Lee, C.C. Liang, W.Y. Lin, Y.C. Lin, Y.-C. Liu
NSRRC, Hsinchu, Taiwan
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Failure analysis during TPS users operation is im-portant to improve the performance of the TPS storage ring. In this report, we discuss the particular radiation dose patterns, relevant to different beam trips, and the development of a tool to help us analyse this dose distri-bution. We will use this analysing tool to train our ability for future failure analysis to shorten the time it takes to find the problem.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2018-WEPAL055
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WEPAL063 |
A Method to Tune Pulse Magnets' Waveforms |
2320 |
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- T.Y. Lee, B.Y. Chen, S. Fann, C.S. Huang, C.H. Kuo, C.C. Liang, W.Y. Lin, Y.-C. Liu, Y.C. Yang
NSRRC, Hsinchu, Taiwan
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Pulse magnets are used in storage ring injection kickers. The waveform of the the four kickers have strong relation with injection efficiency. A slightly offset of waveform may cause the four kickers mismatched, which would lead to storaged beam loss and decrease injection efficiency. In order to define the peak value and timing of the half-sine waveform which has noises interfering diagnosis, a curve-fitting method was introduced to monitor and fine-tuning the waveform. The waveforms' data are also archived for reference in case of replacing power supplies. By using this method, it helps to retain a consistent injection efficiency after the power supplies maintenance or replacement.
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2018-WEPAL063
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WEPAL064 |
Diagnosis Application by Great Amount Operation Data Analysis Program for Taiwan Photon Source |
2323 |
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- C.C. Liang, B.Y. Chen, C.H. Chen, S. Fann, C.S. Huang, C.H. Kuo, T.Y. Lee, W.Y. Lin, Z.-D. Tsai, Y.C. Yang, T.-C. Yu
NSRRC, Hsinchu, Taiwan
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To find out abnormal situations of the machine for preventive maintenance or machine trip tracking or instability source diagnosis, a large amount of operating data in an accelerator is thus can be used to build a series data analysis program. When the archived data is classified accordingly, the standard deviation (STD), peak-to-peak value and other statistic indexes within the inspection time zone by the belonging families can be used to point out the especially abnormal signals. The analysis program adopts the techniques of parallel calculation and memory optimization to greatly reduce the time for data transmission and analysis and also displays the correlation signals to opera-tors for deeper analysis. This paper illustrated a simple yet effective method for quickly identifying a not-so-obscure hardware issue by simply using a personal computer (PC).
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DOI • |
reference for this paper
※ https://doi.org/10.18429/JACoW-IPAC2018-WEPAL064
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