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Machine Learning Applied to Non-periodic Event Detection – A Special Case in Structural Health Monitoring

Creator:

Hu, Congcong

Abstract:

Structural Health Monitoring (SHM) is known as the process of implementation of damage detection and characterization strategy. The method is widely used in modern critical equipment to minimize the risk of failures. While a significant effort has been devoted by researchers for the detection of faults in situations including periodic...

Resource Type:

Dissertation

Full Text:

identification of a non-periodic event, especially those with low signal-to-noise ratio (SNR). In this