System and method for predicting the dryness of clothing articles
US6098310A · kind A · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 1998 |
| Grant date | Aug 8, 2000 |
| Priority date | — |
| Expiry date | Apr 15, 2018 |
Classification
- Technology area (CPC D)Textiles; Paper
- CPC primaryD06F2105/62
- WIPO fieldOther consumer goods
- WIPO sectorOther fields
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.