This invention discloses a multi-dimensional health
status assessment method for equipment based on bulldozer
distance measurement, which uses monitoring parameters (also known as
monitoring data) that characterize the equipment's
performance status as input. The method includes: first, preprocessing the full-lifecycle data and real-
time data to improve data
usability; then, performing a weighted average of degradation-sensitive parameters with the same direction of inversion, determining a standard health set using the health status sample sets of the full-lifecycle data and real-
time data, and determining a standard fault set using the fault status sample set of historical data; then, calculating the bulldozer distance through a time-series sliding window to obtain a performance degradation sample set; and finally, linearly generating the equipment health status set.