Invention Grant
- Patent Title: Graph-based predictive maintenance
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Application No.: US16653033Application Date: 2019-10-15
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Publication No.: US11221617B2Publication Date: 2022-01-11
- Inventor: Wenchao Yu , Jingchao Ni , Bo Zong , Wei Cheng , Haifeng Chen , LuAn Tang
- Applicant: NEC Laboratories America, Inc.
- Applicant Address: US NJ Princeton
- Assignee: NEC Laboratories America, Inc.
- Current Assignee: NEC Laboratories America, Inc.
- Current Assignee Address: US NJ Princeton
- Agent Joseph Kolodka
- Main IPC: G05B23/02
- IPC: G05B23/02 ; G06N20/10 ; G06F16/901 ; G06K9/62 ; G06F17/18

Abstract:
Systems and methods for predicting system device failure are provided. The method includes performing graph-based predictive maintenance (GBPM) to determine a trained ensemble classification model for detecting maintenance ready components that includes extracted node features and graph features. The method includes constructing, based on testing data and the trained ensemble classification model, an attributed temporal graph and the extracted node features and graph features. The method further includes concatenating the extracted node features and graph features. The method also includes determining, based on the trained ensemble classification model, a list of prediction results of components that are to be scheduled for component maintenance.
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