General Electric Company

Ai Alpine US Bidco Inc.

Transportation IP Holdings, LLC

Ge Global Sourcing LLC

General Electric Renovables Espana, S.l.

Brett Alexander Matthews

Frederick Wilson Wheeler

Jeffrey Jacob Bizub

Jeffrey Michael Fries

Yuri Alexeyevich Plotnikov

Gregory Boverman

Majid Nayeri

Iyad Batal

Ajith Kuttannair Kumar

Joseph Forrest Noffsinger

Brian Lee Staton

Samhitha Palanganda Poonacha

Timothy Robert Brown

Tannous Frangieh

Justin Scott Shriver

Marco Guerriero

Bruce Arnold Friedman

Jayakrishnan Unnikrishnan

Sahika Genc

Larry Gene Schoonover

Robert Claude Prescott

David Alan Sitzman

Liwei Hao

Lijun He

Michael Lexa

Kalpit Vikrambhai Desai

Jeffery Michael Fries

Systems and methods for estimating an engine event location are disclosed herein. In one embodiment, a control system is configured to receive feedback from at least one vibration sensor coupled to a reciprocating engine, estimate an engine parameter based at least on the feedback and an Empirical Transform Function (ETF), estimate a location of an engine event based on the engine parameter, and adjust operation of the reciprocating engine based at least on the location of the engine event.

System and method for determining the timing of an engine event

Systems for examining a route inject one or more electrical examination signals into a conductive route from onboard a vehicle system traveling along the route, detect one or more electrical characteristics of the route based on the one or more electrical examination signals, and detect a break in conductivity of the route responsive to the one or more electrical characteristics decreasing by more than a designated drop threshold for a time period within a designated drop time period. Feature vectors may be determined for the electrical characteristics and compared to one or more patterns in order to distinguish between breaks in the conductivity of the route and other causes for changes in the electrical characteristics.

Route examining system

Systems and methods for estimating an engine event location are disclosed herein. In one embodiment, a control system is configured to receive feedback from at least one knock sensor coupled to a reciprocating engine, estimate an engine parameter based at least on the feedback and an Empirical Transform Function (ETF), estimate a location of an engine event based on the engine parameter, and adjust operation of the reciprocating engine based at least on the location of the engine event.

Systems and methods for detecting faults are provided. A method for determining a fault condition for a component of a drivetrain in a wind turbine can include receiving an acoustic signal from an acoustic signal measuring device. The method can further include receiving a vibration signal from a vibration signal measuring device. The method can further include analyzing the acoustic signal to determine an analyzed acoustic signal. The method can further include analyzing the vibration signal to determine an analyzed vibration signal. The method can further include determining a fault condition for the component based at least in part on the analyzed acoustic signal and analyzed vibration signal. The fault condition can further be determined based at least in part on an analyzed electrical signal.

Wind turbine fault detection using acoustic, vibration, and electrical signals

A system receives a plurality of data samples associated with a control valve with each of the plurality of data samples associated with a setpoint and a position. A first subset of the data samples that are in a control zone associated with normal operation of the control valve is determined. In a case that a second subset of the data samples are determined to be (i) not in the first subset and (ii) close to a minimum position of the plurality of data samples and (iii) have setpoints less than their associated positions, an alert associated with a low obstruction is indicated. In a case that a second subset of the data samples are determined to be (i) not in the first subset and (ii) close to the maximum position of the plurality of data samples and (iii) have setpoint greater than their associated position, an alert is indicated.

Obstruction detection for a control valve

Systems and methods for estimating when an engine event occurs is described. The system includes a controller configured to receive a first signal from at least one knock sensor coupled to a combustion engine, receive a second signal from at least one engine crankshaft sensor coupled to the combustion engine, transform the first and second signals into a plurality of feature vectors using a multivariate transformation algorithm, determine an expected window of an engine event with a statistical model, center a segment of the plurality of feature vectors around the expected window, estimate, using the statistical algorithm, a time in the expected window corresponding to when the engine event occurred, and adjust operation of the combustion engine based on the time.

Systems and methods for estimating a time of an engine event

A method of deriving the health of a first cylinder in a reciprocating device includes receiving a first signal from a first knock sensor in proximity to the first cylinder, receiving a second signal from a second knock sensor in proximity to a second cylinder, processing the first signal and the second signal, and deriving the health of the first cylinder by determining whether the first signal is coherent with the second signal.

Methods and systems to derive health of mating cylinder using knock sensors

A system includes at least one sensor for sensing at least one of vibration, pressure, acceleration, deflection, or movement within a reciprocating engine and a controller. The controller is configured to receive a raw signal from the at least one sensor, derive a filtered knock signal using predictive frequency bands by applying a filter, derive an absolute filtered knock signal from the filtered signal, identify a maximum of the absolute filtered knock signal for each engine cycle, predict a peak pressure value of each of one or more engine cycles using the identified maximums of the absolute filtered signal and a predictive model, and adjust operation of the reciprocating engine based on the predicted peak pressure values.

System and method for predicting peak pressure values using knock sensor

Systems and methods for examining a route inject one or more electrical examination signals into a conductive route from onboard a vehicle system traveling along the route, detect one or more electrical characteristics of the route based on the one or more electrical examination signals, apply a filter to the one or more electrical characteristics, and detect a break in conductivity of the route responsive to the one or more electrical characteristics decreasing by more than a designated drop threshold for a time period within a designated drop time period. Feature vectors may be determined for the electrical characteristics and compared to one or more patterns in order to distinguish between breaks in the conductivity of the route and other causes for changes in the electrical characteristics.

Route examining system and method

A computer-implemented method for monitoring characteristic data includes selecting a first operable system device and receiving a first plurality of data from the first operable system device. The first plurality of data represents at least one characteristic of the first operable system device at a first plurality of points in time. The method also includes determining whether the first plurality of data is useful. If the data is useful, the method also includes receiving a second plurality of data from the first operable system device, the second plurality of data represents at least one characteristic of the first operable system device at a second plurality of points in time, wherein the second plurality of points in time is substantially larger than the first plurality of points in time. If the data is not useful, the method further includes selecting a second operable system device.

System for data sampling of control valves using confidence scores

Systems and methods for estimating an engine event location are disclosed herein. In one embodiment, a controller is configured to receive a signal from at least one knock sensor coupled to a reciprocating engine, transform the signal, using a multivariate transformation algorithm, into a power spectral density, transform the power spectral density into a plurality of feature vectors using predictive frequency bands, predict the engine event location using at least the plurality of feature vectors and a predictive model, and adjust operation of the reciprocating engine based on the engine event location.

System and method for locating an engine event

A method of prioritizing arrhythmia alarms based on one patient's perfusion level includes receiving arterial blood pressure, electrocardiogram heart rate, and arterial pulse rate values of the one patient during a same time window. Analyzing the set of blood pressure values to determine if an arrhythmia event is indicated, where if an arrhythmia event is indicated, the method includes calculating a systolic blood pressure (SBP) ratio, comparing the SBP ratio to a first predetermined threshold, and if the SBP ratio is less than or equal to the first predetermined threshold, then activating a non-perfusion alarm. If the SBP ratio is greater than the first predetermined threshold, then calculating a standard deviation of a rate differential between the heart rate and the pulse rate values, and if the standard deviation is greater than a second predetermined threshold, then activating the non-perfusion alarm. A system and non-transitory computer media is also presented.

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Albany, NY, United States of America

Brett Alexander Matthews