Flight Operations Quality Assurance Based on Clustering Analysis

摘要：

　　Flight operations quality assurance (FOQA) can be applied to monitoring and analyzing the data recorded in a flight to improve line operations and safety.In view of the requirements of FOQA and the shortage of general data processing algorithms,clustering analysis and density-based spatial clustering of applications with noise (DBSCAN) algorithm are studied depending on data mining,and FOQA based on clustering analysis is presented.The process of flight data analysis is discussed with this algorithm.The practicability and universality of DBSCAN algorithm is validated by the clustering analysis instance of an abnormal data during takeoff.

关键词： Flight operations quality assurance Clustering analysis DBSCAN algorithm

作者: Zhuo Sun Cunbao Ma Wen Li Chunnan Shen

作者单位: School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072 Shaanxi, China

会议类型: 国际会议

会议名称: 2013西安国际航空维修与管理学术会议

会议地点: 西安

会议语种:英文

页码: 413-422

在线出版日期: 2013-11-25（万方平台首次上网日期，不代表论文的发表时间）