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 and methods are provided for estimating the total base number of used oil in an engine. The systems and methods can involve characterizing the sulfur content and at least one other element content of the oil both before introduction into the engine and after passing through an engine cylinder during combustion. Depending on the aspect, a total base number of the oil prior to use can also be measured, or the total base number before use can be estimated based on the at least one element content.

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.

Disclosed is a monitoring apparatus for monitoring a state of wear of a component of a reciprocating piston internal combustion engine wherein an oil collection device is provided for the collection of lubrication oil from the cylinder so that a predetermined measured quantity of lubrication oil is suppliable from the cylinder to a measurement device.

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.