A system for detecting wear or failure of a genset coupling of a genset power system is provided. The system includes a vibration sensor for measuring vibrations, and an additional sensor for measuring an operating condition. A controller is configured to process operating condition data from the additional sensor using a modeling software to generate simulated data. The controller applies time domain information of at least one of the simulated data and vibration sensor data to the modeling software using a machine learning algorithm, and perform a comparison to identify wear or failure of the coupling, wherein, when performing the comparison, the controller compares at least one of: time domain information of the vibration sensor data to time domain information of the simulated data or frequency domain information of the vibration sensor data to frequency domain information of the simulated data, to identify wear or failure of the coupling.

A method to determine a status of a motor vehicle includes collecting a first output signal data from at least one device which is outputting the signal data related to a first plurality of operational parameters and a first plurality of environmental parameters of the motor vehicle. The method further includes identifying patterns within the first output signal data, analyzing the patterns within the first output signal data; and generating a second output signal data defining a second plurality of operational parameters distinct from the first operational parameters.

A method for estimating pressures at a gas engine using a real-time model-based observer is implemented by a pressure estimation computing device. The method includes receiving a design schema describing an intake manifold and a plurality of components associated with the gas engine, segmenting the design schema into a plurality of segments defining a plurality of sections of the gas engine, defining a fluid dynamics model associated with each of the plurality of segments, defining a plurality of interconnected elements based on the plurality of fluid dynamics models, receiving at least one pressure measurement from at least one of a plurality of sensors associated with each of the sections of the gas engine, estimating a plurality of pressure values at each section of the gas engine, and controlling fuel injection to at least one gas cylinder based on the estimated plurality of pressure values.

A method for determining an injection quantity of a fuel injector determines a first time at which an injection process of the fuel injector starts, a second time at which the injection process of the fuel injector ends, calculates a model on the basis of the first time and the second time, which model represents the position of a nozzle needle of the fuel injector as a function of the time, and calculates the quantity of fuel to inject.

A test bench for a control system for controlling a wideband lambda sensor, which is configured to calculate an actual value, which represents an oxygen concentration in a measuring gap of a wideband lambda sensor or an indicator value from which the oxygen concentration can be derived, with consideration of a current generated by a pump voltage in an electrical circuit. In order to simulate the electrical response of a pump cell of the wideband lambda sensor, a first diode and a second diode are connected in parallel in the electrical circuit such that a current flows through the first diode at a first polarity of the pump voltage and a current flows through the second diode at a second polarity of the pump voltage.

A method for generating a model ensemble that estimates at least one output variable of a physical process as a function of at least one input variable, the model ensemble being formed from a sum of model outputs from a plurality of models that have been weighted with a weighting factor.

The invention relates to an engine control unit for an internal combustion engine of a vehicle, with a control unit which is designed to set one or more operating parameters of the internal combustion engine based on a predefined multidimensional operating parameter map which is stored in the control unit and specifies respective operating parameter values for various operating states of the internal combustion engine, wherein the control unit is designed to transmit an operating parameter history, which comprises operating parameter values set for the internal combustion engine in its operating history, to a learning unit, and to receive operating parameter map update data from the learning unit and to update the stored operating parameter map by means of the operating parameter map update data in order to provide improved control for the internal combustion engine.

A control apparatus for a diesel engine includes a neighboring temperature estimating section which estimates a temperature of a neighborhood of a glow plug that heats an interior of a cylinder upon startup, and a supercharging pressure control section which controls a supercharging pressure in such a way that a rotation fluctuation of the engine does not increase, on the basis of the estimated temperature of the neighborhood of the glow plug.

A control apparatus for a diesel engine includes a neighboring temperature estimating section which estimates a temperature of a neighborhood of a glow plug that heats an interior of a cylinder upon startup, and a supercharging pressure control section which controls a supercharging pressure in such a way that a rotation fluctuation of the engine does not increase, on the basis of the estimated temperature of the neighborhood of the glow plug.

The invention relates to a motor controller for an internal combustion engine of a vehicle, comprising a control unit for setting one or more control variables on the basis of one or more measured variables according to a stored control scheme; wherein the control unit is designed to modify the stored control scheme when the control unit is used as intended with the operational internal combustion engine, which is being controlled by the motor controller, according to a specified learning algorithm, namely using at least one feedback parameter which is associated with an optimization criterion and is provided to the control unit, in order to provide an improved control of the internal combustion engine.