Fault Diagnosis Technology of Railway Signal Equipment based on Improved FP-Growth Algorithm

The rapid development of computer information technology has made various fault diagnosis and detection technologies emerge in an endless stream. As one the main transportation vehicles, efficiency railway signal equipment important practical significance for maintaining overall safe operation railways. On basis traditional FP-Growth algorithm, improve TF-IDF algorithm to realize weight discretization text features, improvement by adjusting adaptive confidence support. will be improved. is used performance tests applications. results show that minimum running time-saving proposed 1500ms, average accuracy P@N exceeds 85%, which higher than (81.4%) VSM (82.1%). PR curve improved closer upper right, effectively ensures processing correlated data, precision under influence positive negative signal-to-noise ratio values 95%. And generated algorithm. error range data four types track circuit, turnout, signal, connecting line floats between 1% 5%. can analyze data. Perform analysis minimize diagnostic errors.