Abstract: A compressed air system and method of operating the system wherein the slip between the compressor motor and its powering alternator is used as an indication of whether the compressor is running in a loaded or unloaded mode. A slip parameter such as % Slip is determined and compared to an allowable value in real time. If the compressor is determined to be erroneously in a loaded mode, a corrective action may be taken to reduce the probability that the motor is later started with the compressor still in the loaded mode.

Abstract: A compressed air system, wherein a decision to de-energize a compressor motor is made with consideration of the likely need for the operation of the compressor at a future point in time. A rate of pressure decay in an air reservoir may be extrapolated over a predetermined time period to predict the need for operation of the compressor within the time period. If operation of the compressor is predicted to be needed within the time period, the compressor is allowed to continue to run in an unloaded mode beyond a normal cool down period.

Abstract: A system (830) and method (800) for diagnosing a malfunctioning machine. A fault event is selected (806) together with sequential operating parameter data (808) from a selectively focused time interval about the fault event for evaluation of a machine (810). The selectively focused time interval may include data occurring just before, just after, or spanning the fault event. Characterizing information such as slope, rate of change, and absolute sign of the data may be derived (809) from the operating parameter data over the selectively focused time interval and used in the diagnosis. The fault event and operating parameter data may be compared to existing cases in a case database (834). A set of rules (817) or candidate anomalies (841) may be executed over the operating parameter data to further improve the accuracy of the diagnosis.

Abstract: A compressed air system, wherein a decision to de-energize a compressor motor is made with consideration of the likely need for the operation of the compressor at a future point in time. A rate of pressure decay in an air reservoir may be extrapolated over a predetermined time period to predict the need for operation of the compressor within the time period. If operation of the compressor is predicted to be needed within the time period, the compressor is allowed to continue to run in an unloaded mode beyond a normal cool down period.

Abstract: A compressed air system and method of operating the system wherein the slip between the compressor motor and its powering alternator is used as an indication of whether the compressor is running in a loaded or unloaded mode. A slip parameter such as % Slip is determined and compared to an allowable value in real time. If the compressor is determined to be erroneously in a loaded mode, a corrective action may be taken to reduce the probability that the motor is later started with the compressor still in the loaded mode.

Abstract: A method for analyzing fault data specific to a machine comprising a plurality of subsystems, said method comprising collecting fault data from a machine experiencing a malfunction, filtering said fault data with a noise-reduction filter to produce noise-reduced fault data, establishing fault rules specific to a subsystem of said machine, applying fault rules specific to said subsystem to noise-reduced fault data, and predicting at least one repair specific to said subsystem based on said fault rules and said noise-reduced fault data.

Abstract: A system (830) and method (800) for diagnosing a malfunctioning machine. A fault event is selected (806) together with sequential operating parameter data (808) from a selectively focused time interval about the fault event for evaluation of a machine (810). The selectively focused time interval may include data occurring just before, just after, or spanning the fault event. Characterizing information such as slope, rate of change, and absolute sign of the data may be derived (809) from the operating parameter data over the selectively focused time interval and used in the diagnosis. The fault event and operating parameter data may be compared to existing cases in a case database (834). A set of rules (817) or candidate anomalies (841) may be executed over the operating parameter data to further improve the accuracy of the diagnosis.