HIMM Fault Diagnosis based on KPI

doi:10.23940/ijpe.19.09.p21.24762483

Abstract

Abstract: The heavy ion medical machine (HIMM) is a medical accelerator device that requires more stability of equipment operation than the general industrial accelerator, because it is related to human life safety. However, in the actual operation, equipment failure is inevitable, so we must have the ability to quickly troubleshoot. It is best to predict the failure in advance. It would be ideal for computers to make intelligent judgments and analyzes based on the data from the underlying sensor, provide the operation and maintenance personnel with the cause and solution of the failure, and even predict the risk in advance. This would improve the safety and stability of heavy ion cancer treatment devices, enhance the efficiency of treatment, and avoid human error. The main research content of this paper is a fault diagnosis system based on KPI (key performance indicator), which is combined with the status quo of the HIMM control system. The HIMM fault diagnosis method is analyzed in detail, and a specific fault detection model is designed. The specific design method and architecture are given in this paper. The construction and application of HIMM is beneficial to society, and research on the fault diagnosis system will contribute to the stable operation of HIMM.

Key words: HIMM, KPI, fault diagnosis, algorithm, analysis, intelligence

Yunjie Li, Yanyu Wang, Jianchuan Zhang, Detai Zhou, and Dan Mo. HIMM Fault Diagnosis based on KPI [J]. Int J Performability Eng, 2019, 15(9): 2476-2483.

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