中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Anomaly Detection of Marine Diesel Engine Valve System based on Mahalanobis Distance

文献类型:会议论文

作者Sun Y(孙越)1,3,4; Xu AD(徐皑冬)1,4; Wang K(王锴)1,4; Jia SL(贾书丽)2; Guo HF(郭海丰)1,3,4; Han XJ(韩晓佳)1,3,4
出版日期2020
会议日期October 16-18, 2020
会议地点Shanghai, China
关键词Diesel engine valve system roller fault anomaly detection MD Box-Cox transformation
页码1-7
英文摘要Diesel engine is an important energy equipment. The valve system is the core component of diesel engine with high failure rate. It is of great significance to study the abnormal detection method of the diesel engine valve system and realize the failure warning before the failure occurs for avoiding the unexpected shutdown of the diesel engine. In this paper, an anomaly detection method of marine diesel engine valve system based on Mahalanobis distance (MD) is proposed. The failure mode of diesel engine system is analyzed. Three thermal parameters are selected as monitoring parameters for the failure mode of roller fragmentation. Fault features are extracted by MD method and the failure threshold is determined by Box-Cox transformation. Finally, the effectiveness of the proposed method is verified by the durability test of diesel engine.
产权排序1
会议录2020 Global Reliability and Prognostics and Health Management, PHM-Shanghai 2020
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-5945-4
源URL[http://ir.sia.cn/handle/173321/28292]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Sun Y(孙越)
作者单位1.Laboratory of Industrial Control Network and System, State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.Automation Engineering Department, Shanghai Marine Diesel Engine Research Institute, Shanghai, China
3.University of Chinese Academy of Sciences, Shenyang, China
4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China
推荐引用方式
GB/T 7714
Sun Y,Xu AD,Wang K,et al. Anomaly Detection of Marine Diesel Engine Valve System based on Mahalanobis Distance[C]. 见:. Shanghai, China. October 16-18, 2020.

入库方式: OAI收割

来源:沈阳自动化研究所

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