Open AccessCondition Monitoring of the Aircraft Structural Fatigue Test Based on PCA Algorithm
Author(s) -
Cuiwei Yan,
Q Y Zhang,
Lin Jun,
Qingzhi Hou
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/2/022068
Subject(s) - principal component analysis , statistic , algorithm , set (abstract data type) , test (biology) , structural engineering , computer science , engineering , mathematics , artificial intelligence , statistics , paleontology , biology , programming language
For the frequent occurrence of structural damage and abnormal conditions in the aircraft structural fatigue test, this paper puts forth a condition monitoring method for aircraft structural fatigue test based on PCA algorithm. First, PCA theory is introduced and its principle is deduced. Second, combined with the characteristics of aircraft structural fatigue test, the off-line principal component model of fatigue test under normal condition is established, in which the static measurement data is treated as the training sample set. According to T 2 statistic and statistical test theory, the detection index is constructed to realize abnormal state recognition. Finally, the effectiveness of the proposed method is verified by a test case.