The invention relates to the field of fault diagnosis, and discloses a
traction system main loop grounding fault diagnosis method and
system based on characteristic correlation, so as to reduce the influence of measurement
noise and transient working condition change on the fault diagnosis performance and improve the accuracy of
fault detection and isolation. The method comprises the following steps: selecting a historical operation data
training set, and extracting characteristic variables associated with a
traction system main loop grounding fault from
original data; calculating corresponding characteristic indexes according to the characteristic variables to form a characteristic index
data set, and calculating typical
correlation analysis parameters and a fault
detection threshold by utilizing the characteristic index
data set; selecting a historical fault
data set to model a fault vector, and constructing a fixed residual error direction
library of various faults; and selecting atest data set, calculating a residual error according to the
test data set and the typical
correlation analysis parameters, comparing the residual error with the fault
detection threshold, and if a fault occurs, calculating a residual error direction of fault data and matching the residual error direction with thee fixed residual error direction
library to realize fault isolation.