Invention Grant
- Patent Title: Methods for detecting fan anomalies with built-in usage and sensory data
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Application No.: US17106991Application Date: 2020-11-30
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Publication No.: US11656615B2Publication Date: 2023-05-23
- Inventor: Wei Zhou , Robert John Zanelli
- Applicant: Haier US Appliance Solutions, Inc.
- Applicant Address: US DE Wilmington
- Assignee: Haier US Appliance Solutions, Inc.
- Current Assignee: Haier US Appliance Solutions, Inc.
- Current Assignee Address: US DE Wilmington
- Agency: Dority & Manning, P.A.
- Main IPC: G05B23/02
- IPC: G05B23/02 ; G06F16/22 ; G06N20/00 ; G05B19/4155
Abstract:
A method of detecting anomalies of a fan within an appliance includes receiving, at a service computer and/or remote server, data indicative of usage of the fan, analyzing the data indicative of usage of the fan with a machine learning model on the service computer and/or remote server, and flagging the fan for replacement when the machine learning model detects an anomaly in the data indicative of usage of the fan.
Public/Granted literature
- US20220171379A1 METHODS FOR DETECTING FAN ANOMALIES WITH BUILT-IN USAGE AND SENSORY DATA Public/Granted day:2022-06-02
Information query
