| 摘要 |
A system and method for predicting the dryness of clothing articles in a clothes dryer. In one embodiment, the clothes dryer uses a temperature sensor, a phase angle sensor, and a humidity sensor 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 receives the signal representations and determines a feature vector. A neural network uses the feature vector to predict a percentage of moisture content and a degree of dryness of the clothing articles in the clothes dryer. In another embodiment, the clothes dryer uses a combination of sensors to predict a percentage of moisture content and a degree of dryness of the clothing articles. |
