Invention Grant
- Patent Title: Methods and apparatus to predict machine failures
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Application No.: US16271490Application Date: 2019-02-08
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Publication No.: US10657454B2Publication Date: 2020-05-19
- 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
- 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 apparatus includes a text miner to text mine first alert data to identify a first machine failure within the first alert data; a failure alert sequence identifier to identify a first alert sequence associated with the first machine failure; a conditional probability determiner to determine a conditional probability of the first alert sequence leading to failure based on i) a number of work machines in which the first alert sequence ended in failure and ii) a number of work machines in which the first alert sequence did not end in failure; and a collator to update a model by correlating the first alert sequence with the first machine failure and first probable parts used to repair the first machine failure.
Public/Granted literature
- US20190171961A1 METHODS AND APPARATUS TO PREDICT MACHINE FAILURES Public/Granted day:2019-06-06
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 |