A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions

Diagnostic and predictive failure processes based on intelligent lubricant oil analysis are a important of the condition-based maintenance (CBM) approaches for diesel vehicle fleets. Companies are equipping each vehicle in the fleet with a large number of sensors, which allows the collection of vast amounts of data about the current state of each asset. With all this information now allows for the research and development of predictive models to help a fleet manager make informed decisions about the operating condition of the vehicles. This allows companies to accurately identify the state of wear and tear of a piece of equipment or system, making CBM more effective and reliable.