Abstract: A method for predicting a remaining useful life of a bearing involves obtaining a plurality of sets of actual inspection data from the bearing. The method involves obtaining an estimated wear rate from a physics based model of the bearing. The method further involves adjusting the estimated wear rate based on the plurality of sets of actual inspection data to compute an actual wear rate. The method also involves computing a calibration parameter based on the actual wear rate. The method further involves predicting a remaining useful life of the bearing based on the calibration parameter.

Abstract: A method for predicting a remaining useful life of a bearing involves obtaining a plurality of sets of actual inspection data from the bearing. The method involves obtaining an estimated wear rate from a physics based model of the bearing. The method further involves adjusting the estimated wear rate based on the plurality of sets of actual inspection data to compute an actual wear rate. The method also involves computing a calibration parameter based on the actual wear rate. The method further involves predicting a remaining useful life of the bearing based on the calibration parameter.

Abstract: A method and system for determining remaining useful life of an in-use injector of a reciprocating engine is disclosed. The method includes determining nozzle wear relationship data for different duty cycles of the in-use injector, and using the nozzle wear relationship data together with operating parameters for the reciprocating engine, and emission relationship data to determine actual emission levels for the in-use injector based on the wear relationship data and the emission relationship data. The method and system further include determining remaining useful life of the in-use injector based on actual emission levels and the nozzle wear relationship data; and controlling an operation of the reciprocating engine based on the actual emission levels.

Abstract: A reciprocating engine system includes a cylinder, a piston disposed within the cylinder, a knock sensor disposed proximate to the cylinder and configured to detect vibrations of the cylinder, piston, or both, a crankshaft sensor configured to sense a crank angle of a crankshaft, and a controller communicatively coupled to the knock sensor and the crankshaft sensor. The controller is configured to receive a raw knock signal from the knock sensor and a crank angle signal from the crankshaft sensor corresponding to vibrations of the cylinder, piston, or both relative to the crank angle of the crankshaft, convert the raw knock signal into a digital value signal, and at least one of a crank angle for a start of combustion, a peak firing pressure, a percentage of fuel mass fraction burn, or a combination thereof, based on the digital value signal and the crank angle.

Abstract: A reciprocating engine system includes a cylinder, a piston disposed within the cylinder, a knock sensor disposed proximate to the cylinder and configured to detect vibrations of the cylinder, piston, or both, a crankshaft sensor configured to sense a crank angle of a crankshaft, and a controller communicatively coupled to the knock sensor and the crankshaft sensor. The controller is configured to receive a raw knock signal from the knock sensor and a crank angle signal from the crankshaft sensor corresponding to vibrations of the cylinder, piston, or both relative to the crank angle of the crankshaft, convert the raw knock signal into a digital value signal, and at least one of a crank angle for a start of combustion, a peak firing pressure, a percentage of fuel mass fraction burn, or a combination thereof, based on the digital value signal and the crank angle.

Abstract: A system includes one or more processors and a resonant sensor that contacts oil within an engine of a vehicle system. The sensor generates electrical stimuli at different times during an operational life of the engine. Each electrical stimulus has multiple different frequencies applied to the oil. The one or more processors receive electrical signals representing impedance responses of the oil to the electrical stimuli. The one or more processors determine a concentration of a polar analyte in the oil at the different times based on the impedance responses and calculate a degradation value for the engine based on the polar analyte concentration. Responsive to the degradation value exceeding a designated degradation threshold, the one or more processors at least one of schedule maintenance for the vehicle system, provide an alert to schedule maintenance for the vehicle system, or prohibit operation of the vehicle system until maintenance is performed.

Abstract: A method and system for determining remaining useful life of an in-use injector of a reciprocating engine is disclosed. The method includes determining nozzle wear relationship data for different duty cycles of the in-use injector, and using the nozzle wear relationship data together with operating parameters for the reciprocating engine, and emission relationship data to determine actual emission levels for the in-use injector based on the wear relationship data and the emission relationship data. The method and system further include determining remaining useful life of the in-use injector based on actual emission levels and the nozzle wear relationship data; and controlling an operation of the reciprocating engine based on the actual emission levels.

Abstract: A system includes a sensor that may measure one or more engine oil parameters to assess engine oil health of an engine and a processor communicatively coupled to the sensor and that may receive a signal from the sensor. The signal is representative of a real-time measurement of the one or more engine oil parameters. The processor may also estimate the one or more engine oil parameters over time via an adaptive predictive model associated with the one or more engine oil parameters to generate estimated data and reconcile the real-time measurement and the estimated data to generate an integrated engine oil degradation model and predict engine oil remaining useful life based on the integrated engine oil degradation model and one or more condemn limits associated with the one or more engine oil parameters.

Abstract: A system includes one or more processors and a resonant sensor that contacts oil within an engine of a vehicle system. The sensor generates electrical stimuli at different times during an operational life of the engine. Each electrical stimulus has multiple different frequencies applied to the oil. The one or more processors receive electrical signals representing impedance responses of the oil to the electrical stimuli. The one or more processors determine a concentration of a polar analyte in the oil at the different times based on the impedance responses and calculate a degradation value for the engine based on the polar analyte concentration. Responsive to the degradation value exceeding a designated degradation threshold, the one or more processors at least one of schedule maintenance for the vehicle system, provide an alert to schedule maintenance for the vehicle system, or prohibit operation of the vehicle system until maintenance is performed.

Abstract: A system includes a sensor that may measure one or more engine oil parameters to assess engine oil health of an engine and a processor communicatively coupled to the sensor and that may receive a signal from the sensor. The signal is representative of a real-time measurement of the one or more engine oil parameters. The processor may also estimate the one or more engine oil parameters over time via an adaptive predictive model associated with the one or more engine oil parameters to generate estimated data and reconcile the real-time measurement and the estimated data to generate an integrated engine oil degradation model and predict engine oil remaining useful life based on the integrated engine oil degradation model and one or more condemn limits associated with the one or more engine oil parameters.

Abstract: A method is presented. The method includes the steps of generating rotation signals corresponding to a plurality of rotations of a rotor physically coupled to a plurality of blades, and determining peak voltages corresponding to the plurality of blades by applying time synchronous averaging technique to blade passing signals using the rotation signals, wherein the peak voltages are representative of clearances of the plurality of blades.

Abstract: A system is disclosed. The system includes a processing subsystem that determines preliminary voltages corresponding to a plurality of blades based upon blade passing signals (BPS), and generates a plurality of clearance values by normalizing the preliminary voltages for effects of one or more operational parameters, wherein the plurality of clearance values are representative of clearance of the plurality of blades.

Abstract: A method is presented. The method includes the steps of generating rotation signals corresponding to a plurality of rotations of a rotor physically coupled to a plurality of blades, and determining peak voltages corresponding to the plurality of blades by applying time synchronous averaging technique to blade passing signals using the rotation signals, wherein the peak voltages are representative of clearances of the plurality of blades.

Abstract: A method for monitoring the health of one or more blades is presented. The method includes the steps of generating a signal representative of delta times of arrival corresponding to the rotating blade, generating a reconstructed signal by decomposing the signal representative of the delta times of arrival utilizing a multi-resolution analysis technique, wherein the reconstructed signal is representative of at least one of static deflection and dynamic deflection in the rotating blade.

Abstract: A system is disclosed. The system includes a processing subsystem that determines preliminary voltages corresponding to a plurality of blades based upon blade passing signals (BPS), and generates a plurality of clearance values by normalizing the preliminary voltages for effects of one or more operational parameters, wherein the plurality of clearance values are representative of clearance of the plurality of blades.

Abstract: A method for monitoring the health of a plurality of blades is presented. The method includes determining delta TOAs corresponding to the plurality of blades, determining a standard deviation utilizing the delta TOAs corresponding to the plurality of blades, determining a delta sigma—1 utilizing the standard deviation and an initial standard deviation, determining a normalized delta TOA corresponding to one or more of the plurality of blades utilizing the delta sigma—1, determining a standard deviation of the normalized delta TOA, determining a delta sigma—2 utilizing the standard deviation of the normalized delta TOA and a previous standard deviation of normalized delta TOA, and determining a corrected delta TOA corresponding to the one or more of the plurality of blades based upon the delta sigma—2.

Abstract: A method for monitoring the health of one or more blades is presented. The method includes the steps of determining a delta TOA corresponding to each of the one or more blades based upon respective actual time of arrival (TOA) of the one or more blades, determining a normalized delta TOA corresponding to each of the one or more blades by removing effects of one or more operational data from the delta TOA, and determining a corrected delta TOA corresponding to each of the one or more blades by removing effects of reseating of the one or more blades from the normalized delta TOA.

Abstract: A system is presented. The system includes a data acquisition system that generates time of arrival (TOA) data corresponding to a plurality of blades in a device, a central processing subsystem that determines features of each of the plurality of blades utilizing the TOA data, and evaluates the health of each of the plurality of blades based upon the determined features.

Abstract: A method for monitoring health of airfoils is disclosed. The method comprises generating at least one feature alarm for a blade by fusing a plurality of features corresponding to the blade utilizing a fuzzy inference method. The fuzzy inference method comprises generating a plurality of intermediate values by fusing one or more combinations of the plurality of features utilizing a fuzzy logic method, and fusing the plurality of intermediate values utilizing a second level fuzzy logic method, wherein the at least one feature alarm is representative of the health of the blade.

Abstract: A method for monitoring the health of one or more blades is presented. The method includes the steps of generating a signal representative of delta times of arrival corresponding to the rotating blade, generating a reconstructed signal by decomposing the signal representative of the delta times of arrival utilizing a multi-resolution analysis technique, wherein the reconstructed signal is representative of at least one of static deflection and dynamic deflection in the rotating blade.