The invention discloses a
rail transit vehicle door
system fault diagnosis and early warning method based on multiple conditions. Operation data aiming at a door
system is divided into initialized standard data, daily standard data and real-time operation data. Diagnosis and early warning can be accurately realized. Motor monitoring is used to monitor a parameter and a door controller IO
signal in real time so as to diagnose a door-
system typical fault, and a fault type of the door system, which can be diagnosed, is enriched. Through refining a fault characteristic, diagnosis precision is increased. A real-time health degree model is established, through a real-
time parameter and a residual error characteristic of a model, a sub-health phenomenon is diagnosed, and a new method is provided for early warning of an early-stage fault. For a long-term slow degeneration sub-health problem of the door system, by using a traditional diagnosis method, a door system parameter can not be monitored; but, through using the method of the invention, by establishing a degeneration
threshold model and comparing and analyzing a long-term change trend of a
state parameter characteristic value, a long-term degeneration sub-health state can be identified, early stage early warning is realized and a good application prospect is possessed.