Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.