Research on Condition Monitoring and Fault Diagnosis of Metallurgical Machinery and Equipment
Using the signal amplitude domain, frequency domain, bearing shock pulse measurement of bearings, gear boxes, motors and other rotating machinery vibration parameters for key components, through the accumulation of historical data and diagnosis, to predict in advance of equipment failure, for maintenance work to help provide a reliable and assurance purposes. The results show that the system does for the routine maintenance of production equipment has played a guiding role.
Z. R. Guan et al., "Research on Condition Monitoring and Fault Diagnosis of Metallurgical Machinery and Equipment", Applied Mechanics and Materials, Vols. 52-54, pp. 504-510, 2011