Integrated imaging sensor/neural network controller for combustion systems
Patent 5249954 Issued on October 5, 1993. Estimated Expiration Date: July 7, 2012. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
431/14, Correlated with action of condition responsive burner control348/83, Furnace (e.g., nuclear reactor, etc.)431/75, By combustion or combustion zone sensor431/76Combustion product composition sensor
Disclosed is an integrated imaging sensor/neural network controller for combustion control systems. The controller uses electronic imaging sensing of chemiluminescence from a combustion system, combined with neural network image processing, to sensitively identify and control a complex combustion system. The imaging system used is not adversely affected by the normal emissions variations caused by changes in burner load and flame position. By incorporating neural networks to learn emission patterns associated with combustor performance, control using image technology is fast enough to be used in a real time, closed loop control system. This advance in sensing and control strategy allows use of the spatial distribution of important parameters in the combustion system in identifying the overall operation condition of a given combustor and in formulating a control response accorded to a pre-determined control model.
Other References
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