Invention Grant
- Patent Title: Methods and apparatus to predict machine failures
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Application No.: US15253748Application Date: 2016-08-31
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Publication No.: US10235631B2Publication Date: 2019-03-19
- Inventor: Mahesh Pratap Singh , Gauri Narayan Pophale , Mayuri Kudale , Hridoy Das
- Applicant: Deere & Company
- Applicant Address: US IL Moline
- Assignee: DEERE & COMPANY
- Current Assignee: DEERE & COMPANY
- Current Assignee Address: US IL Moline
- Agency: Hanley, Flight & Zimmerman, LLC
- Priority: IN201621022703 20160701
- Main IPC: G06N7/00
- IPC: G06N7/00 ; G05B23/02

Abstract:
Methods and apparatus of modeling work vehicle data and predicting machine failures based on the same are disclosed. An example method includes accessing a first alert sequence from a work vehicle, the first alert sequence is associated with one or more of observed diagnostic code, observed vehicle sensor data, or observed vehicle status data; comparing the first alert sequence to a model including an association between reference alert sequences, reference machine failures, and probable parts used to repair the respective reference machine failures; identifying a substantial similarity between the first alert sequence and a first reference alert sequence of the reference alert sequences; and based on the model and the first reference alert sequence, identifying first probable parts of the probable parts used to repair a first reference machine failure of the reference machine failures, where the first reference machine failure is associated with the first reference alert sequence.
Public/Granted literature
- US20180005132A1 METHODS AND APPARATUS TO PREDICT MACHINE FAILURES Public/Granted day:2018-01-04
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N7/00 | 基于特定数学模式的计算机系统 |