The present invention discloses a CNC
machine tool health monitoring method,
system and program product based on multi-
source data fusion, which belongs to the technical field of CNC
machine tool health monitoring. The sensor module collects multi-
source data such as spindle vibration and guide rail offset, and after preprocessing by the
data acquisition module, the error judgment module determines the abnormal
machine tool. The core lies in the health analysis module, which calculates the amplitude difference and offset difference of each
machine tool based on the preset standard error threshold, and performs basic grouping according to the principle of three times the standard deviation, and divides the
machine tool into a stable group, a
normal group and a fluctuation group. In the subsequent
processing process, data is continuously collected and the fluctuation value is calculated, and the
machine tool state is judged according to the fluctuation value and the grouping is dynamically adjusted to achieve real-time tracking of the health status of the machine tool. Finally, the CNC machine
tool management module marks the machine tool according to the grouping results after dynamic adjustment and formulates corresponding maintenance strategies, thereby improving the stability,
processing accuracy and maintenance efficiency of the machine tool.