Caterpillar Inc.

Nathan J Wieland

Yanchai Zhang

Benjamin J Hodel

Xuefei Hu

Jeffry Neil Sundermeyer

Wenming Zhao

John Gates

Chunhui Pan

Shiferaw Damtie Beyene

Daojie Zhang

Jim A Nygaard

Nimesh Akalanka Jayakody

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.

On-board machine component failure detection

A method for providing improved composite work cycle damage estimates includes constructing a damage rate basis matrix, performing a D-optimal row selection calculation on the damage rate basis matrix, selecting, based on the D-optimal row selection calculation, a finite number of strain measurement device locations on the machine, extracting a target percentile damage rate for each of the one or more strain measurement devices, and using the extracted damage rates to solve for the unknown coefficients and verify the weightings assigned to the machine operations.

Method for improving severity estimates

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Eureka, IL, United States of America

Nathan J Wieland