Methods and systems are provided for a lubricant detection device. In one example, a system comprises one or more sensors arranged in an oil flow path for detecting if a particle is in an oil flow. Engine operating parameters are adjusted in response to sensing the particle, wherein the engine operating parameter adjustments are different in response to only a first sensor detecting the particle or to both the first sensor and a second sensor detecting the particle.

An oil sensor comprising a holder to which an elongated crystal is fastened that is transparent to infrared light and with a refractive index greater than the refractive index of the oil to be examined, whereby a light source is provided in the holder at a first end of the elongated crystal for transmitting light in the infrared spectrum in the elongated crystal, and detector at a second end of the elongated crystal for measuring the intensity of the light, which during the passage through the elongated crystal undergoes total reflection at a boundary plane at least four times in succession in a contact zone where the elongated crystal comes into contact with the oil, wherein the oil sensor is further provided with at least one temperature sensor to determine the temperature of at least one of the components of the oil sensor.

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.

Methods and systems are provided for a lubricant detection device. In one example, a system comprises one or more sensors arranged in an oil flow path for detecting if a particle is in an oil flow. Engine operating parameters are adjusted in response to sensing the particle, wherein the engine operating parameter adjustments are different in response to only a first sensor detecting the particle or to both the first sensor and a second sensor detecting the particle.

A method of determining wear of a seal element includes rotating a seal plate relative to the seal element and such that the seal plate and the seal element form a rotational sealing interface. The seal element includes an insert embedded in the seal element. A portion of the seal element is worn with a sealing face of the seal plate. The insert is contacted with the sealing face of the seal plate. A portion of the insert is worn to create a wear particle of the insert. The presence of the wear particle in a lubrication oil is sensed with an oil monitoring system.

A system includes an electronic fuel injection system of an engine, the electronic fuel injection system including an electronic governor control unit for controlling various functions of the engine.

A method for performing condition-based maintenance of an engine is presented. The method includes obtaining one or more parameters corresponding to the engine. Also, the method includes determining a temperature profile corresponding to a portion of a fluid flow component based on a first parameter and one or more thermal models. The method further includes estimating a solid deposit in the portion of the fluid flow component corresponding to each cycle of the engine based on the temperature profile and deposition kinetics parameters. Further, the method includes predicting a total solid deposit in the portion of the fluid flow component based on the estimated solid deposit corresponding to each cycle of the engine. Moreover, the method includes performing the condition-based maintenance of the engine based on a value of the predicted total solid deposit.

A system for tracking oil health of an engine includes an electronic fuel injection system which includes an electronic governor control unit. The electronic governor control unit is programmed to track engine parameters, calculate oil health based on the tracked engine parameters and on engine type, and display an indication of oil health.

An exemplary monitoring assembly includes a sensor that provides a first output when a lubricant reservoir holds a first amount of a contaminant, and a different, second output when the lubricant reservoir holds a different, second amount of the contaminant. A lubrication system monitoring controller operatively coupled to the sensor and configured to initiate a maintenance mode in response to the second output.

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.