Invention Publication
- Patent Title: ON-BOARD MACHINE COMPONENT FAILURE DETECTION
-
Application No.: US17538324Application Date: 2021-11-30
-
Publication No.: US20230168641A1Publication Date: 2023-06-01
- Inventor: Yanchai Zhang , Wenming Zhao , Chunhui Pan , Daojie Zhang , Xuefei Hu , Shiferaw Damtie Beyene , Nathan J. Wieland , John Dewey Gates , Nimesh Akalanka Jayakody
- Applicant: Caterpillar Inc.
- Applicant Address: US IL Peoria
- Assignee: Caterpillar Inc.
- Current Assignee: Caterpillar Inc.
- Current Assignee Address: US IL Peoria
- Main IPC: G05B13/04
- IPC: G05B13/04 ; G05B13/02

Abstract:
An electronic control module (ECM) on-board a machine executes a reduced-order model configured to generate virtual sensor data associated with a machine component based on sensor data measured by actual sensors. The ECM can also execute a machine learning model configured to generate offset data for the sensor data and/or the virtual sensor data, based on operating conditions, an age of the machine component, and/or other factors that the reduced-order model may not consider. The sensor data and/or the virtual sensor data, adjusted based on the offset data, can indicate whether the machine component has failed or is predicted to fail at a future point in time, and/or a remaining usable life of the machine component.
Public/Granted literature
- US12124231B2 On-board machine component failure detection Public/Granted day:2024-10-22
Information query