Fluid Intelligence and the University of Oulu have initiated research co-operation. The purpose of the study is to gather data in laboratory conditions on changes in oil performance and the effects of different particles on it. This data will be used to further develop algorithms in Fluid’s AI-based analytics.
ASTM – the oil sampling standard D8112-17 – was updated in the end of 2017. The updated standard deals with making sampling standardized in energy industry’s more demanding targets like turbines and oil systems. The standard can be applied as a good foundation for proper sampling in different operating environments.
Time for the traditional annual oil analysis is here. During the year we have received hundreds of samples, some of them good and others not so good. When talking about samples one can never undermine the effect that the actual sampling can have in a sample.
In the summer of 2017 Fluid Intelligence carried out a quite comprehensive statistical study of mobile machinery oil conditions after oil changes together with its customer.