Abstract
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 T2 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.
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