Patent 7202794 Issued on April 10, 2007. Estimated Expiration Date: July 20, 2024. 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.
340/578, By radiant energy340/577, Flame340/600, Radiant energy340/506, Alarm system supervision250/554, Flame light source348/154, Motion detection169/37, SPRINKLER HEADS205/785, With heating or temperature sensing250/339.15, Sensing flame or explosion340/286.05, Fire431/75, By combustion or combustion zone sensor700/274, Control of combustion or heating apparatus (e.g., kiln, furnace, autoclave, burner, combusion system)382/100, APPLICATIONS431/12, Controlling or proportioning feed431/79, Photoelectric sensor706/24, Beamforming (e.g., target location, radar)435/287.2, Measuring or testing for antibody or nucleic acid, or measuring or testing using antibody or nucleic acid340/526, Predetermined rate of occurrence60/779Having particular safety
A flame detection system includes a plurality of sensors for generating a plurality of respective sensor signals. The plurality of sensors includes a set of discrete optical radiation sensors responsive to flame as well as non-flame emissions. An Artificial Neural Network may be applied in processing the sensor signals to provide an output corresponding to a flame condition.
Wavelet Applications VII Apr. 26-28, 2000 Orlando, FL, USA, vol. 4056, Apr. 26, 2000, pp. 351-361, XP002347427 Proceedings of the SPIE—ISSN: 0277-786X.
Aube '01. 12th International Conference on Automatic Fire Detection Mar. 25-28, 2001 Gaithersburg, MD, USA, Mar. 25, 2001, pp. 191-200, XP002347428.
“Learning representations by back-propagating errors,” David E. Rumelhart, Geoffrey E. Hinton & Ronald J. Williams; Nature, vol. 323, Oct. 9, 1986, pp. 533-536.
Application of Principal Component Analysis To The Design of Neural Networks; Hugo Guterman, Neural, Parallel & Scientific Computations 2 (1994) 43-54.
Fire Sentry Corporation, 2002, SS4-A UV/IR Digital Fire Detector; http: //www/firesentry.com/ ProductSS4FSC.asp#SS4A-A2.
http://www.micropack.co.uk/, CCTV FDS-101.
R. Hynds; Developments in Optical Fire Detection; Exploration and Production Forum, Aug. 23, 1998.