Abstract: A prediction based engine control system is disclosed. The engine control system may have sensor configured to sense a current engine operation and generate a corresponding signal and a controller in communication with the sensor. The controller may be configured to receive the signal, compare the current engine operation to an allowable range of engine operation, predict a future engine operation based on the signal, and limit current engine operation based on the prediction, even when the current engine operation is within the allowable range of operation.

Abstract: A method for analyzing operations of a plurality of machines communicating with a server computer. The method may include establishing a plurality of virtual sensors corresponding to a plurality of engine systems of the respective plurality of machines. Each virtual sensor may be indicative of interrelationships between a plurality of input parameters and a plurality of output parameters of an engine system. The method may also include determining an operational accuracy of each virtual sensor, and calculating a score of each machine based on the operational accuracy of a virtual sensor of the machine. Further, the method may include ranking the plurality of machines based upon the score of each machine, scheduling maintenance for a certain number of machines based on the ranking of the plurality of machines, and providing automatic notification of the scheduled maintenance.

Abstract: A prediction based engine control system is disclosed. The engine control system may have sensor configured to sense a current engine operation and generate a corresponding signal and a controller in communication with the sensor. The controller may be configured to receive the signal, compare the current engine operation to an allowable range of engine operation, predict a future engine operation based on the signal, and limit current engine operation based on the prediction, even when the current engine operation is within the allowable range of operation.

Abstract: A computer-implemented method for monitoring machine performance includes creating one or more computational models for generating one or more estimated output values based on real-time input data. The method includes collecting real-time operational information from the machine, including real-time input data reflecting a plurality of input parameters and real-time output data reflecting one or more output parameters. The method further includes, based on the collected input data and the one or more computational models, generating a set of one or more predicted output values reflecting the one or more output parameters. The method additionally includes comparing the set of one or more predicted output values to a set of values corresponding to the real-time output data. If the set of one or more predicted output values varies more than a predetermined amount from the set of values corresponding to the real-time output data, a first notification message is provided.