Drying and gas or vapor contact with solids – Apparatus – With automatic control
Patent
1998-02-17
1999-05-04
Joyce, Harold
Drying and gas or vapor contact with solids
Apparatus
With automatic control
34535, F26B 1310
Patent
active
058990054
ABSTRACT:
The present invention discloses a system and method for predicting the dryness of clothing articles in a clothes dryer 10. In one embodiment of this invention, the clothes dryer 10 uses a temperature sensor 52, a phase angle sensor 54, and a humidity sensor 56 to generate signal representations of the temperature of the clothing articles, the motor phase angle, and the humidity of the heated air in the duct, respectively. A controller 58 receives the signal representations and determines a feature vector. A neural network 168 uses the feature vector to predict a percentage of moisture content and a degree of dryness of the clothing articles in the clothes dryer 10. In another embodiment of this invention, the clothes dryer uses a combination of sensors to predicts a percentage of moisture content and a degree of dryness of the clothing articles.
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"Application of Radial Basis Function Neural Network Model for Short-Term Load Forecasting" by DK Ranaweera, et al, IEE Proc.-Gener. Transm. Distrib., vol. 142, No. 1, Jan. 1995, pp. 45-50.
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Badami Vivek Venugopal
Chbat Nicolas Wadih
Chen Yu-To
General Electric Company
Goldman David C.
Gravini Steve
Joyce Harold
Snyder Marvin
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