Invention Grant
- Patent Title: Sensor data fusion for prognostics and health monitoring
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Application No.: US15535909Application Date: 2015-12-18
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Publication No.: US11340602B2Publication Date: 2022-05-24
- Inventor: Michael J. Giering , Madhusudana Shashanka , Soumik Sarkar , Vivek Venugopalan
- Applicant: United Technologies Corporation
- Applicant Address: US CT Farmington
- Assignee: United Technologies Corporation
- Current Assignee: United Technologies Corporation
- Current Assignee Address: US CT Farmington
- Agency: Cantor Colburn LLP
- International Application: PCT/US2015/066673 WO 20151218
- International Announcement: WO2016/100816 WO 20160623
- Main IPC: G05B23/02
- IPC: G05B23/02 ; G06N3/04 ; G06K9/62 ; G06V10/44 ; G06V20/56 ; G06T7/246 ; G06N3/08

Abstract:
A method includes converting time-series data from a plurality of prognostic and health monitoring (PHM) sensors into frequency domain data. One or more portions of the frequency domain data are labeled as indicative of one or more target modes to form labeled target data. A model including a deep neural network is applied to the labeled target data. A result of applying the model is classified as one or more discretized PHM training indicators associated with the one or more target modes. The one or more discretized PHM training indicators are output.
Public/Granted literature
- US20180217585A1 SENSOR DATA FUSION FOR PROGNOSTICS AND HEALTH MONITORING Public/Granted day:2018-08-02
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