A method for predictive maintenance of components of an internal combustion engine by a structure-borne sound sensor includes: recording vibrations of the components of the internal combustion engine by at least one structure-borne sound sensor; and during operation of the internal combustion engine, continuously checking a release for diagnosing a wear condition of the components of the internal combustion engine. The one or more structure-borne sound sensors, which are arranged at one or more positions on the internal combustion engine, record measurement signals and forward them to evaluation electronics. The measurement signals are time-synchronized to a characteristic state of the internal combustion engine or the measurement signal recording is time-triggered. The time-synchronized or triggered measurement signals are decoded into measurement data. The decoded measurement data is subjected to a signal transformation. One or more spectrograms are generated from the signal transformation.

A snap-fit engine cover assembly provides multiple customized panels that cover and protect critical engine components which are revealed upon removal of engine component covers. Removing the covers from the engine block may be necessary for repairs, rebuilding, and storage of the engine block. The panels are shaped and dimensioned to substantially match the contour of the formed openings and crevices. The edges of the panels are sufficiently resilient and have recessed grooves that form a snap-fit relationship with the perimeter of the engine component openings. In addition to the snap-fit mating, the panels have fastener apertures that align with engine block apertures; thereby enabling fasteners to pass through for reinforcing the attachment of the panels over the formed openings in the engine block. A cardboard rectangular panel is also used along the sidewall of the engine block to protect against paint when painting portions of the engine block.

A method for diagnosing the operation of an injector of a diesel engine of a vehicle, controlled by a plurality of control laws on the basis of at least one operating parameter of the injector for each control law. The method includes a step of measuring an operating parameter value during use of the injector, a step of determining an efficiency value of each control law on the basis of the measured value of the parameter and of a predetermined reference curve representing the efficiency of the parameter in its interval of operating values, and a step of determining an efficiency value of the injector on the basis of the efficiency value of each of the control laws.

Method and apparatus are disclosed for vehicle calibration based upon performance product detection. An example vehicle includes a receiver to receive a wireless signal from a transducer of an performance product that includes characteristics of the performance product. The example vehicle also includes a product controller to authenticate the performance product based upon the wireless signal and send, upon authentication, a calibration instruction that includes the characteristics. The example vehicle also includes an electronic control unit to receive the calibration instruction and adjust a calibration to a target setting based upon the characteristics.

A method is described for diagnosing errors in an internal combustion engine in which fuel is injected from a high-pressure accumulator into associated combustion chambers with the aid of multiple fuel injectors, a first value (R.sub.stat,2) which is representative of a static flow rate of fuel through one of the fuel injectors being ascertained, a second value (n) which is representative of a running smoothness of the internal combustion engine being ascertained, if at least one of the two values (R.sub.stat,2, n) deviates from the particular associated reference value (R.sub.stat, n.sub.0), an error (F) being deduced, and the error (F) being assigned to the fuel injector and/or at least one further component and/or at least one operating phase of the internal combustion engine on the basis of deviations of the two representative values (R.sub.stat,2, n) from the particular associated reference value (R.sub.stat, n.sub.0).

An apparatus for cleaning a motorization system includes an injector that injects cleaning fluid into an inlet of an internal-combustion engine, a diagnostic device that determines the system's soiling level as a function of intrinsic parameters thereof, and a controller that supplies the injection device with cleaning parameters that depend on the soiling level. The motorization includes the engine and a gas-circulation circuit having pipes and moving parts arranged to feed the inlet a gas mixture for combustion.

An abnormality diagnosis device of an in-cylinder pressure sensor is provided. The device carries out a performance determination in which a performance quality of the sensor is determined based on an electric signal inputted from the sensor. The device carries out a first determination in which the performance determination is performed at a given timing, a performance recovery in which a given deposit removal control is executed in which a deposit accumulating inside the combustion chamber is removed when the performance quality of the in-cylinder pressure sensor is determined to fall below a given reference value, and a second determination in which the performance determination is carried out again after the performance recovery. In the second determination, the in-cylinder pressure sensor is diagnosed as abnormal when the performance quality of the sensor is determined to fall below the given reference value.

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.

Systems, apparatuses, and methods disclosed provide for estimating the remaining life for an engine. The method includes determining a correlation between a quantity of burned fuel and a level of wear of a piston ring for an engine. The level of wear of the piston ring is indicative of a remaining life of the engine. The method also includes determining a current quantity of burned fuel by the engine, and determining the remaining life of the engine based on the correlation and the current quantity of burned fuel by the engine.

A method for predictive maintenance of components of an internal combustion engine by a structure-borne sound sensor includes: recording vibrations of the components of the internal combustion engine by at least one structure-borne sound sensor; and during operation of the internal combustion engine, continuously checking a release for diagnosing a wear condition of the components of the internal combustion engine. The one or more structure-borne sound sensors, which are arranged at one or more positions on the internal combustion engine, record measurement signals and forward them to evaluation electronics. The measurement signals are time-synchronized to a characteristic state of the internal combustion engine or the measurement signal recording is time-triggered. The time-synchronized or triggered measurement signals are decoded into measurement data. The decoded measurement data is subjected to a signal transformation. One or more spectrograms are generated from the signal transformation.