Patent classifications
F01M2011/1446
Systems and methods for lubricant dilution detection
Systems and methods for lubricant dilution detection are disclosed. A method for detecting lubricant dilution for a lubrication system includes detecting a low idle condition. The method includes receiving sensed values indicative of lubricant pressure and lubricant temperature during the low idle condition. The method also includes determining a lubricant pressure threshold based on the sensed value indicative of lubricant temperature. The method further includes determining lubricant dilution based on the sensed value indicative of lubricant pressure and the determined lubricant pressure threshold during the low idle condition. In accordance with a determination that there is lubricant dilution, the method includes outputting an indication of the lubricant dilution.
Systems and methods for reliably detecting wear metal particles in lubrication systems to avoid progressive damage
A controller includes at least one processor coupled to a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to: perform operations comprising: determining a concentration of a plurality of wear metal particles in a lubricant for an engine system; determining a filtered concentration of the plurality of wear metal particles using a baseline concentration of the plurality of wear metal particles; setting a diagnostic threshold based on the filtered concentration of the wear metal particles; and, responsive to determining that the concentration of the wear metal particles exceeds the diagnostic threshold, providing a notification.
LUBRICANT DILUTION DETECTION SYSTEM
Lubricant dilution detection systems and methods are disclosed. A method for detecting lubricant dilution for a lubrication system includes detecting a shutdown event of the lubrication system. The method includes measuring lubricant pressure during the shutdown event. The method further includes determining lubricant dilution based on the measured lubricant pressure during the shutdown event. In accordance with a determination that there is lubricant dilution, the method includes outputting an indication of the lubricant dilution.
Lubricant dilution detection system
Lubricant dilution detection systems and methods are disclosed. A method for detecting lubricant dilution for a lubrication system includes detecting a shutdown event of the lubrication system. The method includes measuring lubricant pressure during the shutdown event. The method further includes determining lubricant dilution based on the measured lubricant pressure during the shutdown event. In accordance with a determination that there is lubricant dilution, the method includes outputting an indication of the lubricant dilution.
LEAKAGE DETECTION DEVICE FOR PCV PASSAGE, AND VEHICLE
A leakage detection device is configured to perform leakage detection in a positive crankcase ventilation passage including at least a fresh air line configured to allow a communication between a crank chamber and an intake passage that constitute an engine. The leakage detection device includes a pressure sensor, a leakage determination unit, and a shut-off mechanism. The pressure sensor is configured to communicate with the positive crankcase ventilation passage and to detect a pressure in the positive crankcase ventilation passage. The leakage determination unit is configured to determine whether leakage occurs in the positive crankcase ventilation passage, based on the pressure in the positive crankcase ventilation passage when the positive crankcase ventilation passage is closed. The shut-off mechanism is configured to shut the pressure sensor off from the positive crankcase ventilation passage except when whether leakage occurs is determined.
SYSTEMS AND METHODS FOR RELIABLY DETECTING WEAR METAL PARTICLES IN LUBRICATION SYSTEMS TO AVOID PROGRESSIVE DAMAGE
Systems and apparatuses relate to a system comprising a controller comprising at least one processor coupled to a memory storing instructions that, when executed by the at least one processor, cause the at least one processor to perform operations comprising: determining a concentration of a plurality of wear metal particles in a lubricant for an engine system; determining a confidence parameter regarding the concentration determination; determining a filtered concentration of the plurality of wear metal particles using a baseline concentration of the plurality of wear metal particles; setting a diagnostic threshold for the plurality of wear metal particles based on the confidence parameter; and, responsive to determining that the diagnostic threshold is exceeded, providing a notification.
Fluid analysis and monitoring using optical spectroscopy
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 for in situ monitoring of working fluids and working fluid systems
A working fluid monitoring system for monitoring a working fluid of working fluid system of a piece of equipment is provided. The working fluid monitoring system can include a filter member having an inlet, an outlet, and a filter media disposed between the inlet and the outlet. The filter member can be configured to permit fluid communication of the working fluid of the working fluid system from the inlet, through the filter media, and out the outlet of the filter member. A sensor is in operable communication with the working fluid within the filter member and is configured to monitor in situ a parameter of the working fluid and/or the working fluid system.
Methods for evaluating the lubrication of an apparatus which can be lubricated by means of a lubricant circuit
A method for evaluating the lubrication of friction components of an apparatus which can be lubricated by means of a lubricant circuit. A lubricant pump of the lubricant circuit is drivable by a drive engine. A pressure ascertainment unit continuously ascertains the lubricant pressure at at least one defined region of the lubricant circuit during an engine start procedure. A travel ascertainment unit is provided, by means of which at multiple pressure points in time, at each of which the lubricant pressure ascertained exceeds a defined pressure limiting value (p.sub.1, p.sub.2, p.sub.3), the relative travel between the friction components since the beginning of the engine start procedure is ascertained or estimated, and an analysis unit, by means of which an evaluation value, is ascertained from the total of the relative travel values (.sub.1, .sub.2, .sub.3) ascertained at the pressure points in time.
Fluid analysis and monitoring using optical spectroscopy
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.