Abstract
In this paper, to satisfy the need of fault monitoring, dynamic real time vibration monitoring and vibration signal analysis for large machine unit in petrochemical industry, which cannot realize real-time, online and fast fault diagnosis, an intelligent fault diagnosis system is developed using artificial immune algorithm and dimensionless indicators, innovated with a focus on reliability, remote monitoring and practicality, and be applied to the Third Catalytic Flue Gas Turbine in a petrochemical enterprise and have got good effects.
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