Caterpillar Inc.

Vijay Krishna Yalamanchili

Tyler P Jewell

David James Lin

Karl P Schneider

Praveen Halepatali

Darin James McCoy

Julian Andres Norato

Vivek Sundararaj

Daniel Jude Organ

Badrinarayan Parthasarathy Athreya

Yang-Kyoo Chang

William Kent Rutan

Scott Antonio Zacek

Kaimei Sun

Chanyoung Park

Vamsi Kalyan Putta

Anthony W Allison

Josiah Armel Hounyo

Justin C Mach

Joshua D Webb

Nabil Mhadbi

Tetsuya Sumiyoshi

Takayuki Naito

Ko Egawa

A method for identifying a cause of a machine operating anomaly including creating a reduced order model (ROMs) for a digital twin model of a selected machine type and feeding current data from a deployed machine into the ROM. The method can include comparing a current output from the selected ROM with a measured output from the current data and determining that an operating anomaly exists when the difference between the current output and the measured output exceeds a selected anomaly threshold. The cause of the operating anomaly can be identified by feeding the current data into a plurality of fault models, wherein each fault model includes a particular component failure, comparing a fault model output from each of the plurality of fault models with the measured output from the current data, selecting the fault model with the fault model output most closely matching the measured output, and displaying the identified component failure associated with the selected fault model as the cause of the operating anomaly.

Systems and methods for identifying machine anomaly root cause based on a selected reduced order model and a selected fault model

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.

System and method for machine monitoring

The present disclosure is directed to systems and methods for virtualizing communications within a plurality of telematics channels operatively connected to a target machine. The method includes (i) generating a virtualized channel in addition to the plurality of telematics channels operatively connected to the target machine; (ii) predicting one or more values for the virtualized channel based on a mathematical function derived from a first set of telematics channels of a source machine; (iii) receiving measurements from the plurality of telematics channels from the target machine; and (iv) applying the mathematical function to the target machine based upon the one or more predicted values of the virtualized channel and the received measurements from the plurality of telematics channels from the target machine.

Systems and methods for establishing a virtualized channel and communicating therewith

A method of managing a worksite is provided. The method includes tracking a position of a machine travelling on the worksite. The method includes segmenting a route of the machine on the worksite into at least two topographic segments based on the tracked position of the machine. The method includes receiving at least one operational parameter of the machine along the route. Further, the method includes generating a feedback based, at least in part, on the at least one operational parameter and the segmented route.

System and method for worksite management

A method for determining a welding sequence including a plurality of welding operations is disclosed. The method includes steps of determining a population of welding sequences based on a set of user-generated constraints, and simulating welding for at least one welding sequence in the population of welding sequences to obtain a multi-objective dependent distortion model of the at least one welding sequence. The method further includes steps of comparing a merit value of the multi-objective dependent distortion model for the at least one welding sequence with one or more predetermined criteria, and outputting a set of welding sequences as potential welding sequences based on the comparison between the merit value and the multi-objective dependent distortion model.

Method and system for determing welding process parameters

A computer-implemented method for designing a pin joint having a bearing member and a pin member received within the bearing member is provided. The method includes receiving, via a Graphical User Interface (GUI), at least one input related to one or more pin joint configuration parameters. The method includes receiving, via the GUI, at least one input related to one or more pin member design parameters. The method includes receiving, via the GUI, at least one input related to one or more bearing member design parameters. The method includes calculating a set of design parameters of the pin joint based on the inputs related to the pin joint configuration parameters, the pin member design parameters, and the bearing member design parameters. The method includes generating an output design of the pin joint based on the comparison between the calculated set of design parameters with a set of predefined design parameters.

System and method for designing pin joint

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Savoy, IL, United States of America

Vijay Krishna Yalamanchili