The invention relates to the technical field of equipment lubricating oil monitoring, in particular to a
wear debris electrostatic monitoring method and
system based on combination of characteristic mode
decomposition and time-frequency images, and an electrostatic sensor
monitoring system comprises a sensor shell, an annular
copper probe, a polyether-
ether-
ketone pipeline, a shielding cover, a
signal processing circuit and other modules. An insulating
pipe in the sensor is a polyether-
ether-
ketone pipeline, lubricating oil passes through the inside of the polyether-
ether-
ketone pipeline, and a red
copper probe of the sensor is attached to the outer surface of the polyether-ether-ketone pipeline. The method comprises the following steps of: firstly, constructing a
signal enhancement model based on characteristic
modal decomposition and a kurtosis measurement criterion, and screening out a key
modal component with high sparsity for reconstruction by calculating a Gini coefficient of each
modal component; further enhancing the
signal pulse of the
wear debris through modal component optimization reconstruction and a sparse representation model; and finally, identifying the
wear debris impact signal based on the
continuous wavelet transform time-frequency image to realize real-time monitoring of the wear debris.