General Electric Company

Ge Global Sourcing LLC

Babcock & Wilcox Power Generation Group, Inc.

Ai Alpine US Bidco Inc.

Westinghouse Air Brake Technologies Corporation

Rahul Srinivas Prabhu

Vivek Venugopal Badami

Aninda Bhattacharya

Ajay Kumar Behera

Venkatesh Rajagopalan

Vinay Bhaskar Jammu

Prashanth D'Souza

Nidhi Naithani

Sudhanshu Rai

Venkatesh Kattigari Madyastha

Radislav Alexandrovich Potyrailo

Adam Edgar Klingbeil

Achalesh Kumar Pandey

Manoj Prakash Gokhale

Subramani Adhiachari

Mandyam Rangayan Sridhar

Mahalakshmi Shunmugham Balasubramaniam

Partho Kayal

Saratchandra Shanmukh

Sethuraman Vijay

Amit Chandrakar

Mahalakshmi Shunmugam Balasubramaniam

Mahalakshmi Shunumugam Balasubramaniam

Sharad Nagappa

Venkatesh Madyastha

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.

Method and system for determining remaining useful life for an injector of a reciprocating engine

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.

Estimation of cylinder conditions using a knock sensor

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.

Sensing system and method

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.

System and method for estimating engine oil health

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.

Methods and systems for monitoring health of blades

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.

System and method for monitoring health of airfoils

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.

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 sigmautilizing 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, determining a standard deviation of the normalized delta TOA, determining a delta sigmautilizing 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

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.

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.

A system includes an electrostatic precipitator, an electromagnetic sensor and a processor to locate spark locations. The electromagnetic sensor is used at various locations of the electrostatic precipitator to obtain data and process the same for locating sparks in electrostatic precipitators.

System and method for locating sparks in electrostatic precipitators

A system for rotor blade health monitoring include time of arrival (TOA) sensors and a controller comprising a processor configured for obtaining TOA signals indicative of times of arrival of rotating rotor blades from the respective TOA sensors and for determining initial features from the TOA signals; and a feature level fuser configured for fusing the initial features received from the processor for use in evaluating health of the rotating rotor blades.

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Bengaluru, India

Rahul Srinivas Prabhu