公开(公告)号：US11656595B2

公开(公告)日：2023-05-23

申请号：US17004546

申请日：2020-08-27

Applicant: Caterpillar Inc.

Inventor： Anthony W. Allison ,  Scott A. Zacek ,  Vijay K. Yalamanchili ,  Karl P. Schneider

IPC: G05B19/042 ,  G06N20/00 ,  G01L1/00 ,  G01P3/00 ,  G01P15/00

CPC classification number: G05B19/0428 ,  G01L1/00 ,  G01P3/00 ,  G01P15/00 ,  G06N20/00 ,  G05B2219/24015

Abstract: A method for monitoring operation of a machine includes receiving machine operation data including a first data channel indicative of a sensed condition at a first location on the machine, wherein the machine operation data is collected during one or more work cycles of the machine, and extracting at least a portion of the machine operation data, including data associated with the first data channel. The method also includes classifying the extracted machine operation data to identify one or more types of events that occurred during the one or more work cycles of the machine and involving an environment in which the machine operates during the one or more work cycles of the machine, estimating a condition at a second location on the machine during the one or more work cycles of the machine based on the identified one or more types of events, and logging the identified one or more types of events with a plurality of additional identified types of events to represent a plurality of work cycles during operation of the machine over time.

公开(公告)号：US20220066408A1

公开(公告)日：2022-03-03

申请号：US17004546

申请日：2020-08-27

Applicant: Caterpillar Inc.

Inventor： Anthony W. Allison ,  Scott A. Zacek ,  Vijay K. Yalamanchili ,  Karl P. Schneider

IPC: G05B19/042 ,  G01L1/00 ,  G01P15/00 ,  G01P3/00 ,  G06N20/00

Abstract: A method for monitoring operation of a machine includes receiving machine operation data including a first data channel indicative of a sensed condition at a first location on the machine, wherein the machine operation data is collected during one or more work cycles of the machine, and extracting at least a portion of the machine operation data, including data associated with the first data channel. The method also includes classifying the extracted machine operation data to identify one or more types of events that occurred during the one or more work cycles of the machine and involving an environment in which the machine operates during the one or more work cycles of the machine, estimating a condition at a second location on the machine during the one or more work cycles of the machine based on the identified one or more types of events, and logging the identified one or more types of events with a plurality of additional identified types of events to represent a plurality of work cycles during operation of the machine over time.