基于灰色系统理论的航空发动机坏点数据识别研究  

Research on Erroneous Data Identification of Aero-engine Based on Grey System Theory

作　　者：崔金辉 闫雨嘉 周玉昭 李瑞军 CUI Jinhui;YAN Yujia;ZHOU Yuzhao;LI Ruijun(AECC Shenyang Engine Research Institute,Liaoning Shenyang 110015,China)

机构地区：[1]中国航发沈阳航空发动机研究所,辽宁沈阳110015

出　　处：《海军航空大学学报》2024年第6期726-730,共5页Journal of Naval Aviation University

基　　金：国家科技重大专项(J2019-I-0021-0020)。

摘　　要：为了从大量的航空发动机试车数据中识别出测试坏点,引入了灰色系统理论,并以此为基础发展了坏点数据的灰色识别方法。利用灰色识别方法对某型航空发动机试车数据进行了判读,通过求解包络线函数和灰色域的范围,识别出了数据中的坏点,同时完成了灰色识别方法的可靠性验证。分析表明,灰色识别方法具有较高的可靠性,能够准确有效地识别数据坏点,灰色系统理论在航空发动机复杂数据的坏点识别中有着较为良好的应用前景。In order to identify erroneous data from numerous test data of aero-engine,grey system theory is introduced and grey identification method is developed to identify erroneous data.Test data of an aero-engine is judged with grey identification method,and the erroneous data is identified accurately by computing upper and lower boundary function to form grey range.The grey identification method is validated and the analysis shows that the grey identification method is reliable that can identify erroneous data with high precision.Grey system theory has a better application prospect in identifying erroneous data from complicated test data of an aero-engine.

关 键 词：灰色系统理论 灰色识别方法 坏点 航空发动机 试车数据 

分 类 号：V233.95[航空宇航科学与技术—航空宇航推进理论与工程]