基于图像特征提取的飞行器故障诊断系统设计

TheSDesignSSof a Missile Fault Diagnosis System based on feature extraction of image

摘要:

为提高飞行器测试数据的利用率,解决飞行器故障诊断中资源浪费的问题。提出并实现了一种基于数据图像特征提取的飞行器故障自动诊断系统。系统通过建立一个历史测试数据库,对各种测试项目的历史图像提取特征值,将其存储在数据库中,且将该次测试对应的诊断信息存储在内。利用小波变换法作为特征提取的方法,小波能谱熵作为特征值表征。将当前测试故障的数据图像进行特征提取,并与数据库中图像进行比对,找出相似度最高的历史数据图像。从而帮助测试人员进行故障定位诊断工作。

Abstract:

In order to improve the utilization of the test data of missiles, and solve the problem of waste of resources on missile fault diagnosis, a missile fault diagnosis system based on feature extraction of image is presented and realized in this article. The feature extracting algorithm is applied for the images of test data, the eigenvalues and the diagnostic information are stored in the historical database. Wavelet transform is used for the extraction of image features, wavelet energy entropy is used as eigenvalue. By comparing the eigenvalues of current image with the data stored in our historical database, this system can help the test engineer to get the fault locations and diagnose the faults.