The invention discloses an integrated
avionics equipment fault intelligent diagnosis
system, and aims to provide a diagnosis
system which is accurate in fault positioning, high in fault identificationcapability and strong in robustness. The
system is realized through the following technical scheme: a data preprocessing module converts acquired equipment data into a difference value of equipment fault timestamps, and the two columns of data are stored into a first
database as a fault
event sequence; a Hawkes
process module periodically sends a detection
signal, judges whether the system has afault and the type of the system fault, diagnoses the fault type, the fault part and the reason, and sends the detected fault
signal to a
survival analysis and prediction module to identify the faultsize and the time-varying characteristic, a time dependent variable is introduced, a proportional risk regression model COX regression model is constructed by taking survival outcome and survival timeas dependent variables, a survival function is obtained from the Hawkes
process module, and
fault analysis is performed according to units of different fault timestamps to complete a fault diagnosistask.