Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

A method for controlling a pressure in a crankcase of an internal combustion engine with a crankcase venting device. The crankcase venting device may include a suction line via which a blow-by gas is removable from the crankcase, a pumping device, and an oil mist separating device. The pumping device and the oil mist separating device may be arranged in the suction line. The method may include controlling a rotational speed of an electric drive in at least one of a closed-loop manner and an open-loop manner, the electric drive configured to drive the pumping device. The method may also include adjusting the pressure in the crankcase via manipulating the rotational speed of the electric drive. The method may further include inferring the pressure in the crankcase via evaluating at least one performance parameter of the electric drive.

A fluid delivery system for an internal combustion engine and a method of monitoring the fluid delivery system are described. The systems and methods monitor and determine various fluid quality parameters and filter element pressure drop, which can be used to determine real-time estimates of remaining useful life for both the filter element and the fluid. The respective remaining useful life calculations are used by the described systems and methods to determine change intervals for the fluid and the filter element. The change intervals can be synchronized by the systems and methods to reduce the amount of down time due to servicing of the fluid delivery system.

A method of diagnosing a lubrication system of an engine includes controlling an oil pump with a control signal. The control signal is a command having a value for a desired lubrication fluid pressure from the oil pump for a current operating state of the engine. A processing unit compares the value of the control signal for the current operating state of the engine to a threshold control value for the current operating state of the engine. When the processing unit determines that the value of the control signal for the current operating state of the engine deviates from the threshold control value for the current operating state of the engine, the processing unit analyzes the value of the control signal to identify a fault in the lubrication system.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

A method for controlling a pressure in a crankcase of an internal combustion engine with a crankcase venting device. The crankcase venting device may include a suction line via which a blow-by gas is removable from the crankcase, a pumping device, and an oil mist separating device. The pumping device and the oil mist separating device may be arranged in the suction line. The method may include controlling a rotational speed of an electric drive in at least one of a closed-loop manner and an open-loop manner, the electric drive configured to drive the pumping device. The method may also include adjusting the pressure in the crankcase via manipulating the rotational speed of the electric drive. The method may further include inferring the pressure in the crankcase via evaluating at least one performance parameter of the electric drive.

A fluid delivery system for an internal combustion engine and a method of monitoring the fluid delivery system are described. The systems and methods monitor and determine various fluid quality parameters and filter element pressure drop, which can be used to determine real-time estimates of remaining useful life for both the filter element and the fluid. The respective remaining useful life calculations are used by the described systems and methods to determine change intervals for the fluid and the filter element. The change intervals can be synchronized by the systems and methods to reduce the amount of down time due to servicing of the fluid delivery system.

The invention relates to an apparatus for monitoring an oil thermostat arranged in an oil circuit of an internal combustion engine. The apparatus comprises a sensor unit (4, 14b; 15) which is designed to determine at least one first parameter, by means of which a current setpoint operation of the oil thermostat (10) can be derived, and to determine at least one second parameter, by means of which a current actual operation of the oil thermostat (10) can be derived. The apparatus further comprises an evaluation device (40), which is designed to detect an onset of an error function of the oil thermostat (10) as a function of the first parameter and the second parameter.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.