The present application belongs to the technical field of low-
voltage reactive
power compensation device state monitoring, and discloses a compensation
branch health identification and
life evaluation method of an intelligent
metal comprehensive distribution box. The present application aims at the failure problem caused by the
coupling of the wear of the composite switch action, the attenuation of the compensation capacity and the
harmonic stress in the compensation
branch, collects the response residual, action
delay, temperature rise,
harmonic stress and action frequency of each compensation
branch, constructs a light
gradient boosting classification model to identify the health grade and calculate the
health score, combines the
health score, action life consumption and temperature rise stress damage to estimate the
remaining life, and finally performs risk sorting and outputs maintenance suggestions such as reexamination, replacement or reduced capacity operation. The present application can comprehensively compensate the multi-dimensional characteristics such as response, switch action, thermal stress and
harmonic stress, quantifies the health degree and
remaining life before the branch completely fails, and effectively improves the accuracy and
interpretability of the
predictive maintenance of the compensation branch of the distribution box.