Monitoring laundry machine operation using machine learning analysis of acoustic transducer signal information

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 rendere...

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Main Authors Zastrow, Mitchell Wayne, Baazi, Richard, Bodnar, Stephane Serge Jean-Pierre, Schmidt, Julie Michele, Neitzke, David Vernon, Kovscek, Mark Allen, Boyle, John, Rosenfeldt, Garry Maurice, Godbole, Dattaprabodh Narhar, Nahar, Nilesh Jayantilal, LaPoint, Andrew Michael, Hainline, III, Joseph Weedon, Haring, Nancy Ann, Lopez, Angie Katherinne Sandoval, Albert, Mathias Takahashi
Format Patent
LanguageEnglish
Published 05.09.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROL OR REGULATING SYSTEMS IN GENERAL
CONTROLLING
COUNTING
FUNCTIONAL ELEMENTS OF SUCH SYSTEMS
MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS
PHYSICS
REGULATING
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Summary: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.
Bibliography:Application Number: US202117527444