Design and research on expert system for abnormal data detection in low-speed pressurized wind tunnel force test

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Design and research on expert system for abnormal data detection in low-speed pressurized wind tunnel force test
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                        Zhan HuiqiangZhan Huiqiang
1.AVIC Aerodynamics Research Institute，Harbin 150001, China； 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
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Zhang QiZhang Qi
1.AVIC Aerodynamics Research Institute，Harbin 150001, China； 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
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Mei JianingMei Jianing
1.AVIC Aerodynamics Research Institute，Harbin 150001, China； 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
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Sun XiaoyuSun Xiaoyu
1.AVIC Aerodynamics Research Institute，Harbin 150001, China； 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
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Lin MuLin Mu
1.AVIC Aerodynamics Research Institute，Harbin 150001, China； 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
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Yao ShunyuYao Shunyu
1.AVIC Aerodynamics Research Institute，Harbin 150001, China； 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
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Affiliation:1.AVIC Aerodynamics Research Institute，Harbin 150001, China; 2.Key Laboratory of Aeronautical Science and Technology with Low Speed and High Reynolds Number，Harbin 150001, China
Clc Number:V211.71
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Abstract:

Aiming at the force test in low-speed pressurized wind tunnel, the original data source of aerodynamic characteristic curve is analyzed. With the balance signal, flow field state and model attitude as the main objects, combined with the test control process, the abnormal detection methods and strategies of the test data are studied from the dimensions of single point data vector, single test data matrix and multi-test data set in the same period, and an expert system for abnormal data detection is designed and developed based on this core knowledge base. The system inference engine automatically detects online during the test, and realizes the pre-detection and pre-diagnosis of the original data through data identification, rule reasoning, logical reasoning and knowledge iteration. The experimental application results show that the expert system is highly sensitive to the detection of abnormal types such as abnormal bridge pressure, linear segment jump point and zero point detection, which guides the direction of abnormal data analysis and improves the efficiency of problem data investigation.

Key words:pressurized wind tunnel;force test;abnormal data monitoring;expert system

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Online: June 07,2024
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