Invention Grant
- Patent Title: IoT-based network architecture for detecting faults using vibration measurement data
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Application No.: US16672696Application Date: 2019-11-04
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Publication No.: US11544557B2Publication Date: 2023-01-03
- Inventor: Michael Freed , Akshay Khushu , Christin Lin , Andrew Ren Luo , Nina Maller , Janet Dukes Schlossberg , Shawn Brian Zhang
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent Kenneth J. Heywood; Jonathon P. Western
- Main IPC: G01M7/02
- IPC: G01M7/02 ; G06N3/08 ; G05B23/02 ; G06K9/62

Abstract:
In one embodiment, a device in a network receives a machine learning encoder and decoder trained by a supervisory service. The service trains the encoder and decoder using vibration measurement data sent to the service by a plurality of devices. The device trains, based on the received encoder, a classifier to determine whether vibration measurement data is indicative of a behavioral anomaly. The device receives vibration measurement data captured by a particular set of one or more vibration sensors of a monitored system. The device evaluates, using the trained decoder, the received vibration measurement data to determine whether the data is indicative of a structural anomaly in the monitored system. The device evaluates, using the trained classifier, the received vibration measurement data to determine whether the data is indicative of a behavioral anomaly in the monitored system.
Public/Granted literature
- US20210133559A1 IOT-BASED NETWORK ARCHITECTURE FOR DETECTING FAULTS USING VIBRATION MEASUREMENT DATA Public/Granted day:2021-05-06
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