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Rail health monitoring plays an important role in the railway system, and how to accurately obtain the rail state is very significant for the railway safety. This paper proposes an improved method of rail health monitoring based on convolutional neural network (CNN) and probability analysis of multiple acoustic emission (AE) events. By tensile testing machine, AE signals with safe and unsafe states...
A fault detection method based on empirical likelihood is presented to deal with the incipient fault in process and equipment. The problem of incipient fault detection is studied in the view of distribution test by a moving window approach. The original fault detection problem is transformed into distribution test, and a set of empirical likelihood values is computed. Based on the likelihood values,...
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