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为提高直升机健康和使用管理的自动化程度,构建了基于C/S结构的直升机故障分析与管理系统框架,阐述了在.net平台下的设计与实现方案。将阈值判断、小波技术、时域平均以及傅里叶分析等用于振动信号去噪、特征频率提取等信号分析之中,为直升机的故障诊断提供分析平台。同时,结合网络技术、数据库技术实现数据的有效管理,为地勤维护人员、直升机管理人员及专家提供良好的分析和管理工具。
In order to improve the helicopter health and the degree of automation of usage management, a helicopter fault analysis and management system framework based on C / S structure was constructed, and the design and implementation scheme under the .net platform was expounded. Threshold judgment, wavelet technology, time-domain averaging and Fourier analysis are used in signal analysis such as vibration signal de-noising and feature frequency extraction to provide an analysis platform for helicopter fault diagnosis. At the same time, with the network technology, database technology to achieve effective data management, maintenance staff for the ground, helicopter managers and experts to provide a good analysis and management tools.