2024
DOI: 10.3390/electronics13050859
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Method for Fault Diagnosis of Track Circuits Based on a Time–Frequency Intelligent Network

Feitong Peng,
Tangzhi Liu

Abstract: In response to the limitations posed by noise interference in complex environments and the narrow focus of existing diagnosis methods for jointless track circuit faults, an innovative approach is put forward in this study. It involves the application of the continuous wavelet transform (CWT) for signal preprocessing, along with the integration of a deep belief network (DBN) and a genetic algorithm (GA) to improve the least-squares support vector machine (LSSVM) model for intelligent time–frequency fault diagno… Show more

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