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![]() ![]() ![]() ![]() |
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
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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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