Monitoring laundry machine operation using machine learning analysis of acoustic transducer signal information
US11747780B2 · kind B2 · utility
0Cited by
0References
16Claims
0Family size
Assignee
Inventors
- Richard Baazi
- Mathias Takahashi Albert
- Dattaprabodh Narhar Godbole
- John M. Boyle
- Joseph Weedon Hainline, III
- Nilesh Jayantilal Nahar
- Stephane Serge Jean-Pierre Bodnar
- Angie Katherinne Sandoval Lopez
- David Vernon Neitzke
- Andrew Michael LaPoint
- Mitchell Wayne Zastrow
- Julie Michele Schmidt
- Mark Allen Kovscek
- Garry Maurice Rosenfeldt
- Nancy Ann Haring
Key dates
| Filing date | Nov 16, 2021 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Nov 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/37337
- WIPO fieldOther consumer goods
- WIPO sectorOther fields
Abstract
A system and method are described for carrying out machine learning-based automated laundry machine error/degraded status detection and maintenance by use of acoustic sensor data rendered by the laundry machines and applied to a plurality of machine learning models for use with acoustic data rendered by the laundry machines.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.