System and method for predicting the dryness of clothing articles
US5899005A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Feb 17, 1998 |
| Grant date | May 4, 1999 |
| Priority date | — |
| Expiry date | Feb 17, 2018 |
Classification
- Technology area (CPC D)Textiles; Paper
- CPC primaryD06F2105/62
- WIPO fieldOther consumer goods
- WIPO sectorOther fields
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.