In corporations such as petrochemical industry and wind power industry, secure production is guaranteed by machinery condition monitoring. However, since current condition monitoring systems are based on analysis after event, they are not able to predict some emergent incidents or slow-changing breakdowns, or targeted predict equipments faults. Targeted on the issues of instruments'early detection is hard, this paper incorporates intelligent early warning technology into machinery condition monitoring and p...