Neural network based expert system for compressor stall monitoringThis research is designed to apply a new information processing technology, artificial neural networks, to monitoring compressor stall. The outputs of neural networks support the dynamic knowledge data base of an expert system. This is the open-loop mode to avoid compressor stall. The integration of a control system with neural networks is the closed-loop mode in stall avoidance. The feasibility of the concept has been demonstrated for the compressor of 16-foot transonic/supersonic propulsion wind tunnels. The construction of a prototpye expert system has been initiated.
Document ID
19910059643
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Lo, Ching F. (Tennessee Univ. Tullahoma, TN, United States)
Shi, G. Z. (Tennessee, University Tullahoma, United States)