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 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.
Abstract:
A system includes a controller configured to receive noise signals acquired by at least two knock sensors of a plurality of knock sensors coupled to a reciprocating device. Each noise signal represents a noise signature of the reciprocating device detected at a respective knock sensor. The controller is also configured to determine a location of a coincident noise within the reciprocating device based at least on the received noise signals.
Abstract:
A method of characterizing a noise signal includes receiving a noise signal sensed by a knock sensor coupled to a reciprocating device, preconditioning the noise signal to derive a preconditioned noise signal, applying an ADSR envelope to the preconditioned noise signal, extracting tonal information from the preconditioned noise signal, and creating a fingerprint of the noise signal based on the ADSR envelope, the tonal information, or a combination thereof.