General Electric Company

Ai Alpine US Bidco Inc.

Dresser, Inc.

Jeffrey Jacob Bizub

Brett Alexander Matthews

Iyad Batal

Marco Guerriero

Frederick Wilson Wheeler

Chandan Kumar

Amit Kumar Shrivastava

Jared J Wentz

Mark James Lemke

Pavan Chakravarthy Nandigama

Rajesh Katta

Scott Mann

Dhruval Bhatt

Sujith Mohan

Amit Shrivastava

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

A method of monitoring an operating event of a combustion engine includes receiving a noise signal sensed by a knock sensor disposed in or proximate to the combustion engine, correlating the noise signal with a musical instrument digital interface (MIDI) fingerprint having at least an ADSR envelope indicative of the operating event, and detecting if the operating event has occurred based on the correlating of the noise signal with the fingerprint.

System and method for detecting operating events of an engine via MIDI

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.

A system includes a cylinder, a piston, a sensor configured to detect vibrations of the cylinder, piston, or both that correspond with varying pressures within the cylinder, and a controller coupled to the sensor. The controller is configured to receive a first signal from the sensor corresponding with first vibrations of the cylinder and to deduce from the first signal a first operating value of a parameter indicative of peak firing pressure at a first time, to compare the first operating value with a baseline value of the parameter indicative of peak firing pressure to detect a change in peak firing pressure, to receive a second signal from the sensor corresponding with second vibrations of the cylinder and to deduce from the second signal a second operating value of the parameter indicative of peak firing pressure at a second time, and to compare the second operating value with the baseline value to confirm the change in peak firing pressure.

System and method for detection of changes to compression ratio and peak firing pressure of an engine

In one embodiment, one or more tangible, non-transitory computer-readable media stores instructions. The instructions, when executed by one or more processors, are configured to receive engine rotation timing event signals for one or more components of the engine and vibration signals indicative of movement of the one or more components, to synchronize the engine rotation timing event signals and the vibration signals to generate synchronized vibration signals, to determine whether a fault exists by comparing the synchronized vibration signals to vibration signatures, and to generate a graphical user interface (GUI) that depicts the synchronized vibration signals at angular positions of the one or more components in relation to time as the one or more components rotate during operation of the engine.

Method and system for portable engine health monitoring

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 or system to determine peak firing pressure of a cylinder of an engine having a crank shaft. The method includes accessing a knock signal received from a knock sensor of the cylinder. The method includes determining a location of peak firing pressure based at least in part on the knock signal. The location of peak firing pressure is associated with combustion of the engine and corresponds to a time or a crank angle of the crankshaft. The method includes generating an indication of the location of peak firing pressure.

Method and system to determine location of peak firing pressure

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 method of diagnosing a knock sensor includes steps of receiving data from the knock sensor, the knock sensor configured to be coupled to an engine, processing the data to derive one or more events from the data, and determining whether the one or more events took place at a known time or a known crank position.

Methods and systems to derive knock sensor conditions

A system includes a combustion engine having an intake manifold and an exhaust manifold, an exhaust gas recirculation (EGR) system coupled to the combustion engine and configured to route exhaust generated by the combustion engine from the exhaust manifold to the intake manifold, and a first knock sensor coupled to the combustion engine and configured to measure vibrations of the combustion engine and output a first vibration signal. The system also includes a controller communicatively coupled to the combustion engine, the knock sensor, the EGR system, or any combination thereof. The controller is configured to determine a peak firing pressure (PFP) within the combustion engine and control operations of both the combustion engine and the EGR system based on the PFP.

System and method for determining location and value of peak firing pressure

A method of monitoring an operating event of a combustion engine includes receiving a noise signal sensed by a knock sensor disposed in or proximate to the combustion engine, correlating the noise signal with a fingerprint having at least an ADSR envelope indicative of the operating event, and detecting if the operating event has occurred based on the correlating of the noise signal with the fingerprint.

System and method for detecting operating events of an engine

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

A system includes a controller configured to receive a signal acquired by the at least one knock sensor coupled to a reciprocating device, to sample the received signal, to analyze the sampled signal, and to utilize standard quality control (SQC) techniques to perform real-time diagnostics on the reciprocating device based on the analyzed signal.

System and method for detecting reciprocating device abnormalities utilizing standard quality control techniques

A method of deriving reciprocating device component health includes receiving a signal from a knock sensor coupled to a reciprocating device, deriving total harmonic distortion (THD) at one or more frequencies, and determining whether the derived THD exceeds a threshold value.

Methods and systems to derive engine component health using total harmonic distortion in a knock sensor signal

A method includes receiving a signal indicative of a change in an air-fuel ratio (AFR) for a mixture of air and fuel entering a first combustion chamber of a combustion engine, advancing firing timing of the first combustion chamber, receiving, from a knock sensor, a knock signal indicating that the combustion engine has begun to knock, determining a knock margin of the first combustion chamber based on when the combustion engine begins to knock, and storing the knock margin as associated with the knock timing and the AFR.

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Milwaukee, WI, United States of America

Jeffrey Jacob Bizub