Research on Fault Detection and Diagnosis Method of the Tower Crane Based on DPCA

摘要：

This paper adopted dynamic principal component analysis(DPCA), applied SPE(squared prediction error) statistic and Hotelling statistic to determine whether the system had fault or not and used contribution maps to distinguish sources of error. In order to suffice urgent needs that the tower crane can operate safely and produce efficiently, the operating condition of the tower crane was detected and diagnosed effectively and the fault was detected and sources of error was determined promptly.

关键词： Tower cranes DPCA Fault diagnosis

作者: Hongtao Lin Tingting Xue Hongtao Lin

作者单位: School of Information Science & Engineering Shenyang Ligong University Shenyang China School of Information Science & Engineering Northeastern University Shenyang China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 451-454

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）