Study on Networking and Intelligent Fault Diagnosis System for Large-Scale Rotating Machinery
A networking and intelligent online monitoring and fault diagnosis system for large-scale rotating machinery is developed according to requirements of an iron & steel enterprise. On the aspect of networking, a mixed structure of C/S and B/S is adopted, and the system integrates local online monitoring and diagnosis, remote monitoring and diagnosis, and remote diagnosis center. On the aspect of intelligent diagnosis, a multi-symptom comprehensive parallel diagnosis technology is adopted based on expert system, neural network and fuzzy logic. Finally, main functional modules and its realization are introduced. Application shows that the system runs normally, and the expected objective is achieved.
J. Liu and F. X. Hu, "Study on Networking and Intelligent Fault Diagnosis System for Large-Scale Rotating Machinery", Advanced Materials Research, Vols. 588-589, pp. 178-184, 2012