High-Confidence Fault Diagnosis for Train-Ground Wireless Communication Network of CBTC

The train-ground wireless communication network and the ground wired backbone communication network in the urban rail transit signal system urgently need intelligent fault diagnosis technology. Taking the DCS of CBTC as the research object, this paper proposes a heterogeneous variable fault information processing method based on the adaptive, self-evolutionary and traceable characteristics of the high-confidence system, establishes a fault intelligent diagnosis model, implements the fuzzy method, and realizes the overall fault diagnosis accuracy can reach 91.96%, meeting the design requirements of the high-confidence system under the high-confidence intelligent diagnosis and evaluation.