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 lubrication system for an internal combustion engine and a method of monitoring the lubrication system are described. The lubrication system generally circulates lubricant from a sump (i.e., a reservoir), through a filtration system, to the internal combustion engine, and back to the sump. The lubrication system includes a controller that monitors a dielectric constant of the lubricant and a viscosity of the lubricant. Based on the dielectric constant, the controller can determine whether the lubricant flowing through the lubrication system is new lubricant (e.g., recently replaced lubricant) or old lubricant (e.g., lubricant that has degraded enough to be distinguished from new lubricant). If old lubricant is identified, the viscosity of the lubricant is compared against threshold viscosities to dynamically determine when the lubricant requires replacement.

A system for monitoring machine fluids is provided. The system includes a fluid handling unit configured to pump the fluid and the fluid handling unit includes at least one fluid handling element. A magnetic material on the at least one fluid handling element is configured to generate a magnetic field. A sensing element located within the magnetic field is configured to measure fluctuations in the magnetic field.

Magnetic chip detectors and associated for detecting metallic chips in engine fluid of an engine are provided. A magnetic chip detector includes first and second magnetic chip capture zones. The first magnetic chip capture zone includes a first electrically conductive terminal spaced apart from a second electrically conductive terminal to define a first chip-receiving gap therebetween. The second magnetic chip capture zone includes a third electrically conductive terminal and either the second electrically conductive terminal or a fourth electrically conductive terminal to define a second chip-receiving gap therebetween. The magnetic chip detector includes an electric circuit including both the first chip-receiving gap and the second chip-receiving gap. The electric circuit provides an output indicative of a chip detection by one or both of the first magnetic chip capture zone and the second magnetic capture zone.