Machinery Lubrication

Machinery Lubrication Jan Feb 2016

Machinery Lubrication magazine published by Noria Corporation

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Page 28 of 89

Used oil analysis is a tool, and like most tools, it can be properly used or misused, depending on the application, user, surrounding conditions, etc. A number of articles and publications explain how to interpret the information in an oil analysis report, but most fail to address one very important issue: statistical normalcy. What is "normal" in a data set represents the typical average values and expected variation within that group. It's a matter of how to view a series of used oil analyses and how the results can shape your view of a healthy or ailing piece of equipment as well as the viability of continued lube service. Most people have heard of the Six Sigma approach using statistics and other similar concepts. These are applicable to the world of lubricants as much as any other topic. Statistical analysis can be applied in both small and large viewpoint formats. Typically, these are referred to as micro-analysis and macro-analysis. Micro-analysis looks at one specific entity and lets data develop as inputs affect it. An example of this would be performing a series of used oil analysis tests on one engine with reasonably consistent usage patterns. All inputs (lubricant, fuel, filtration, sample cycle, etc.) are held constant or with minimal change so the natural devel - opment of information can be seen. This is done to establish ranges and to allow for any trends to develop. Over time, this method - ology can be used to decide which product or process excels over another for a specific application. By DaviD E. nEw Ton, CarriEr CorporaTion/UTC OIL ANALYSIS Oil Analysis of Engines Surprising Findings from Automotive 24 | January - February 2016 |

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