General Electric Company

William Roy Schneider

Richard Gerald Bliley

Michael James Pierro

Vinay Bhaskar Jammu

Paul Edward Cuddihy

Nicholas E Roddy

Anil Varma

Myron L Smith

Jason A Dean

Louis Andrew Schick

Gregory John Fera

Stephen Matthew Pelkowski

Gregory James Hampson

James Edward Schlabach

C Richard Unkle

Kimberley Marie Mangino

Luis Ivan Gomez Meneses

Method and system for managing a plurality of remote assets, such as a fleet mobile assets is provided. The method allows for collecting data regarding each of a plurality of remote assets. The collected data is used to develop historical information regarding actual usage of each remote asset. The information is distributed via a global information network.

System and method for managing a fleet of remote assets

A system and method for reducing the shop time of a vehicle, e.g., a locomotive, at a maintenance facility by obtaining onboard systems parameter data during a period when the vehicle is inbound to the maintenance facility for required periodic scheduled maintenance, and by determining, at the maintenance facility and prior to arrival of the vehicle at the maintenance facility, from the data received from the inbound vehicle, whether any of the data is out of a predetermined range or is trending to be out of range.

System and method for remote inbound vehicle inspection

A method and apparatus for chronologically combining fault data, repair data, and operational parameters for a railroad locomotive. Generally, this data is collected and stored in separate databases. The present invention teaches combining the data so that an ordered analysis reflecting the timing of faults, repairs, and operational information can be carried out to determine the root causes of the faults.

Diagnosis of faults in a complex system

A system and method for reducing the shop lime of a vehicle, e.g., a locomotive, at a maintenance facility by obtaining onboard systems parameter data during a period when the vehicle is inbound to the maintenance facility for required periodic scheduled maintenance, and by determining, at the maintenance facility and prior to arrival of the vehicle at the maintenance facility, from the data received from the inbound vehicle, whether any of the data is out of a predetermined range or is trending to be out of range.

A method for analyzing fault log data and repair data to estimate time before a machine-disabling failure occurs is provided. The method allows for searching in a database of historical fault log data from a plurality of machines for the occurrence of respective fault patterns indicative of incipient failures of a respective machine subsystem. The method further allows for searching in a database of historical repair data for respective repairs executed on the respective machine subsystem. The method also allows for computing elapsed time between respective occurrences of the fault patterns and the executed repairs.

Method and system for estimating time of occurrence of machine-disabling failures

The present invention discloses a system and computer-implemented method for analyzing a fault log from a malfunctioning machine. The method includes receiving, from the malfunctioning machine, at least one of at least one fault code and at least one data code, at least one fault code and at least one anomaly code, and at least one data code and at least one anomaly code, and determining at least one of a cause of and a repair for the malfunctioning machine based on the at least one of the at least one fault code and the at least one data code, the at least one fault code and the at least one anomaly code, and the at least one data code and the at least one anomaly code. The method desirably includes receiving a fault log comprising at least one fault code and at least one data pack, parsing the at least one data pack, and generating at least one data pack code for a portion of the at least one parsed data pack. Desirably, the determining the at least one of the cause of and the repair for the malfunctioning machine is based on the at least one fault code and the at least one data pack code. Advantageously, the method includes using a belief network, or case-based reasoning.

Analyzing fault logs and continuous data for diagnostics for a locomotive

A method and system for identifying or determining degradation in performance of an engine cooling subsystem having an electric motor for powering a fan in a locomotive is provided. The method allows for monitoring a signal indicative of an electrical imbalance in one or more phases in the fan motor of the cooling subsystem, and for adjusting the value of the monitored signal for deviations from an estimated nominal phase signal value due to predetermined external variables so as to generate an adjusted phase signal value. The method further allows for comparing the value of the adjusted phase signal value against the nominal phase signal value to determine the performance of the cooling subsystem.

Method and system for identifying performance degradation of a cooling subsystem in a locomotive

An apparatus and method of predicting vehicle breakdown and operability includes monitoring at a monitoring station on-board systems parameter data transmitted from a vehicle from a remote location; determining whether any of the monitored data is out of a predetermined range; calculating trends for monitored data determined to be out of range; identifying any system fault; and predicting what vehicle system(s) must be corrected to avoid vehicle failure and when such system(s) are likely to fail unless corrected.

Vehicle maintenance management system and method

A computer-based method and system for predicting impending failures in a system, such as a locomotive, aircraft, power plant, etc., having a plurality of subsystems is provided. The method allows for storing log data indicative of respective incidents or events that may occur as each of the subsystems is operative. A detecting step allows for detecting predetermined trend patterns in the log incident data. A mapping step allows for mapping each detected trend pattern into a respective prediction of an impending failure of a respective one of the subsystems of the locomotive, and an informing or outputting step allows for informing a respective user of the failure prediction so as to allow the user to take corrective action before the predicted failure occurs.

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Erie, PA, United States of America

William Roy Schneider