Anomaly detection in KOMAC high-power systems using transformer-based conditional variational autoencoder

IF 0.9 4区 物理与天体物理 Q3 PHYSICS, MULTIDISCIPLINARY
Gi-Hu Kim, Hae-Seong Jeong, Han-Sung Kim, Hyeok-Jung Kwon, Dong-Hwan Kim
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引用次数: 0

Abstract

This study applies a transformer-based conditional variational autoencoder (T-CVAE) model for anomaly detection in pulse waveform signals from the High Voltage Converter Modulator (HVCM) and Klystron at the Korea Multipurpose Accelerator Complex (KOMAC). Building upon prior work using CVAE models for anomaly detection in Spallation Neutron Source (SNS) accelerators, the T-CVAE model was tailored to the specific characteristics of KOMAC data by optimizing hyperparameters and leveraging transformer-based architectures for enhanced feature extraction. Experimental results demonstrate that the model effectively learns the distribution of normal signals, as validated through boxplots, the receiver operation characteristics (ROC) curve and kernel density estimation (KDE) analyses. Anomalies are detected through significant reconstruction loss differences between normal and abnormal signals. By reliably identifying pre-fault conditions, the proposed system offers a promising approach to improving operational reliability and minimizing unplanned downtime in KOMAC's proton linear accelerator.

基于变压器的条件变分自编码器在KOMAC大功率系统中的异常检测
本研究应用了一种基于变压器的条件变分自编码器(T-CVAE)模型,用于检测韩国多用途加速器综合体(KOMAC)高压变换器调制器(HVCM)和速调管脉冲波形信号中的异常。基于之前使用CVAE模型在散裂中子源(SNS)加速器中进行异常检测的工作,T-CVAE模型通过优化超参数和利用基于变压器的架构来增强特征提取,针对KOMAC数据的特定特征进行了量身定制。实验结果表明,该模型有效地学习了正态信号的分布,并通过箱线图、接收者操作特征(ROC)曲线和核密度估计(KDE)分析进行了验证。通过正常和异常信号之间显著的重构损失差异来检测异常。通过可靠地识别故障前条件,该系统为提高KOMAC质子直线加速器的运行可靠性和减少计划外停机时间提供了一种有希望的方法。
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来源期刊
Journal of the Korean Physical Society
Journal of the Korean Physical Society PHYSICS, MULTIDISCIPLINARY-
CiteScore
1.20
自引率
16.70%
发文量
276
审稿时长
5.5 months
期刊介绍: The Journal of the Korean Physical Society (JKPS) covers all fields of physics spanning from statistical physics and condensed matter physics to particle physics. The manuscript to be published in JKPS is required to hold the originality, significance, and recent completeness. The journal is composed of Full paper, Letters, and Brief sections. In addition, featured articles with outstanding results are selected by the Editorial board and introduced in the online version. For emphasis on aspect of international journal, several world-distinguished researchers join the Editorial board. High quality of papers may be express-published when it is recommended or requested.
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