The invention relates to the technical field of
strip mill fault detection, in particular to a
strip mill transmission shaft fault early warning method and
system based on digital twinning. The method comprises the following steps: deploying multiple types of sensors at key parts of a transmission shaft of a
strip mill, collecting real-time operation data, and performing
time domain and
frequency domain extraction on the operation data to obtain effective fault features; establishing a multi-dimensional evaluation
index system, and dynamically adjusting fault priorities according to effective fault features; a grading standard is formulated according to the severity of the fault, an early warning threshold value of each grade is set, and fault early warning is carried out according to the corresponding grade; the
system comprises a current
data acquisition and
feature extraction module, a fault condition priority dynamic adjustment module and a
fault grading early warning module. By means of the mode, the fault priority is dynamically adjusted, operation and maintenance resource waste and
production risk out-of-control are avoided, the accuracy and timeliness of transmission shaft fault early warning are improved, and the continuity and stability of
strip steel production are guaranteed.