Invention Grant
- Patent Title: Predictive maintenance system for spatially correlated industrial equipment
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Application No.: US16784566Application Date: 2020-02-07
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Publication No.: US11501132B2Publication Date: 2022-11-15
- Inventor: Qiyao Wang , Haiyan Wang , Chetan Gupta , Hamed Khorasgani , Huijuan Shao , Aniruddha Rajendra Rao
- Applicant: Hitachi, Ltd.
- Applicant Address: JP Tokyo
- Assignee: Hitachi, Ltd.
- Current Assignee: Hitachi, Ltd.
- Current Assignee Address: JP Tokyo
- Agency: Procopio, Cory, Hargreaves & Savitch LLP
- Main IPC: G06N3/04
- IPC: G06N3/04 ; G06Q10/00 ; G06N3/08

Abstract:
In example implementations described herein, there are systems and methods for processing sensor data from an equipment over a period of time to generate sensor time series data; processing the sensor time series data in a kernel weight layer configured to generate weights to weigh the sensor time series data; providing the weighted sensor time series data to fully connected layers configured to conduct a correlation on the weighted sensor time series data with predictive maintenance labels to generate an intermediate predictive maintenance label; and providing the intermediate predictive maintenance label to an inversed kernel weight layer configured to inverse the weights generated by the kernel weight layer, to generate a predictive maintenance label for the equipment.
Public/Granted literature
- US20210248444A1 PREDICTIVE MAINTENANCE SYSTEM FOR SPATIALLY CORRELATED INDUSTRIAL EQUIPMENT Public/Granted day:2021-08-12
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