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.

In one embodiment, there is provided a device for a vehicle, having: a first interface configured to couple to at least one replaceable fluid container for a vehicle comprising a battery, the first interface comprising at least one fluid port configured to couple to at least one fluid port of the replaceable fluid container; a second interface configured to couple to an engine of the vehicle, the second interface comprising at least one fluid port configured to couple to at least one fluid port of a fluid circulation system of the vehicle; a fluid path coupled to at least one fluid port of the first interface and at least one fluid port of the second interface; and at least one electrical pump configured to be powered and/or driven by the battery of the vehicle and to cause fluid flow.

A diagnostic system for a lubrication circuit of an internal combustion engine of a vehicle. The system includes a viscometer for detecting the viscosity of a lubricating liquid of the lubrication circuit, a temperature sensor for detecting the temperature of the lubricating liquid, and a control unit to acquire the state of the lubricating liquid, given by the viscosity detected for a given lubricating liquid condition, which includes the lubricating liquid temperature and the date of last replacement of the lubricating liquid, and for a given condition of use of the engine, and to assess the state of the lubricating liquid by comparing the detected viscosity of the lubricating liquid with the viscosity reference values stored in the database in the same or similar condition of lubricating liquid temperature, date of last replacement of the lubricating liquid and use of the engine.

In one embodiment, there is provided a device for a vehicle, having: a first interface configured to couple to at least one replaceable fluid container for a vehicle comprising a battery, the first interface comprising at least one fluid port configured to couple to at least one fluid port of the replaceable fluid container; a second interface configured to couple to an engine of the vehicle, the second interface comprising at least one fluid port configured to couple to at least one fluid port of a fluid circulation system of the vehicle; a fluid path coupled to at least one fluid port of the first interface and at least one fluid port of the second interface; and at least one electrical pump configured to be powered and/or driven by the battery of the vehicle and to cause fluid flow.

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.

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 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 system and method for activating on a user interface an indicator of a condition of a lubricant in a machine module. The system may comprise a controller and a user interface. The controller may be configured to, for each of a first time window and a second time window: receive a plurality of lubricant characteristics and measured lubricant temperatures, calculate an adjusted lubricant characteristic, and determine a slope based on the plurality of adjusted lubricant characteristics. The controller may further determine a change in slope, and generate a signal to activate the indicator on the user interface based on the change in slope, wherein, if the change in slope exceeds a threshold, the indicator is a lubricant changed indicator.

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.