General Electric Company

Michael James Pierro

William Roy Schneider

Richard Gerald Bliley

Gregory John Fera

Paul Edward Cuddihy

Louis Andrew Schick

James E Pander

Gregory James Hampson

Ashish Puri

John Howard Lovelace, Ii

James Edward Schlabach

Eric Harold Hedlund

Steven Loncher

Thomas E O'Camb

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 method and system for managing communication of electronic data between a diagnostic service center and a plurality of mobile assets () generally remote relative to each other is provided. The electronic data comprises at least respective mobile asset data indicative of respective performance of the plurality of mobile assets. The mobile asset data used for detecting the presence of potential malfunctions which, if left uncorrected, would likely result in respective mission failures of the assets. The method allows for storing in a database () a list of respective cases to be processed. The method further allows for assigning to each case a respective download priority. A determining action allows for determining each case to be populated next with new mobile asset data based upon the assigned download priority. Respective executing actions allow for executing a download of the new mobile asset data between the diagnostic service center and a respective one of the mobile assets, and for executing predetermined analysis on the downloaded data for detecting the presence of respective potential malfunctions in the mobile assets. The download of data may be executed automatically whenever critical faults occur in the mobile assets.

Method and system for remotely managing communication of data used for predicting malfunctions in a plurality of machines

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 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 and system for identifying a plurality of critical faults in machines is provided. The method allows for collecting from a predetermined plurality of the machines respective machine data indicative of each fault logged over a predetermined period of time. Respective identifying steps allow for identifying in the collected machine data respective faults most frequently occurring relative to one another and for identifying in the most frequently occurring faults, respective faults that, relative to one another, affect a higher number of machines. A classifying step allows for classifying the faults identified in the last-recited identifying step based on an expected level of machine degradation associated with the identified faults, and a storing step allows for storing any faults classified as likely to result in an imminent machine mission failure in a predetermined database of critical faults.

Method and system for identifying critical faults in machines

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.

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Erie, PA, United States of America

Michael James Pierro