Invention Grant
- Patent Title: Autoencoder utilizing vehicle contextual information
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Application No.: US16866047Application Date: 2020-05-04
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Publication No.: US11353861B2Publication Date: 2022-06-07
- Inventor: Shailesh N. Joshi , Donald Mcmenemy , John Kaminski , Ravi Rajamani , Muhamed Farooq , Krishna Pattipati , Ali Bazzi
- Applicant: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC. , UNIVERSITY OF CONNECTICUT
- Applicant Address: US TX Plano; US CT Farmington
- Assignee: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.,UNIVERSITY OF CONNECTICUT
- Current Assignee: TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.,UNIVERSITY OF CONNECTICUT
- Current Assignee Address: US TX Plano; US CT Farmington
- Agency: Oblon, McClelland, Maier & Neustadt, L.L.P.
- Main IPC: G05B23/02
- IPC: G05B23/02 ; G06K9/62 ; G06N3/04

Abstract:
A method, system, and non-transitory computer readable medium describing an autoencoder that creates a reduced feature space from healthy power electronics devices for training. Devices under test are then encoded and compared to the encoded features of the healthy devices to determine health of the other devices. Contextual information is used to build multiple models that compare power electronics devices from similarly operated vehicles with one another.
Public/Granted literature
- US20210341911A1 AUTOENCODER UTILIZING VEHICLE CONTEXTUAL INFORMATION Public/Granted day:2021-11-04
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