The SO2 Blower is one of the supercritical blowers in the zinc manufacturing process. It must run most accurately as the rpm of this equipment is above 5600rpm. Moreover, all bearings in this equipment are journal bearings. Therefore, it is challenging to monitor and identify the faults by offline monitoring techniques.
Nanoprecise Sci Corp was asked to implement a predictive maintenance solution to detect faults early and provide a reliable prediction of Remaining Useful Life (RUL).
Please fill all the required * fields.