面向飞机PHM的大数据分析与人工智能应用

Massive Data Mining and Artificial Intelligence Application for Aircraft PHM

针对新一代电子产品密集型的飞机,其系统结构和失效机理复杂、失效模式多样,传统的方法难以对其进行有效健康管理的现状,因此提出了基于海量数据挖掘的飞机PHM研究。首先从系统结构、服役环境、数据来源与存储方式等角度分析了新一代飞机对海量数据挖掘的应用需求;其次论述了基于海量数据挖掘的关键技术,包括数据的预处理、集成管理、聚类、分类、关联、预测等;最后提出了一种基于私有云的飞机PHM海量数据挖掘平台,详细阐述了该平台的总体框架和软硬件结构,该平台为飞机PHM提供了验证平台,对促进飞机PHM的集成与工程化实现具有重大的军事应用意义。

Aimed at the problems that the new-generation aircraft is characterized by electronic product-intensive,complex system structure and failure mechanism,multiple failure modes,difficult to carry out effective fault prediction and health management by the traditional methods.A PHM(Prognostic and Health Management)method based on massive data mining of aircraft is presented in this paper.Firstly,the characteristics of the new generation aircraft are analyzed from the aspects of system structure,service environment,and data source and data storage mode.Secondly,the key technologies based on massive data mining are discussed,including data preprocessing,integrated management,diagnosis and prognostic model and so on.Finally,a massive data mining platform of aircraft PHM based on private cloud is proposed.The overall framework,hardware and software structure of the platform are described in detail.The massive data mining platform of avionics system can quickly and effectively carry out data mining,and provide a verification platform for the aircraft PHM,which is an event of great significance in promoting the integration and engineering realization of aircraft PHM.