Maximize Productivity - Minimize Wear
The oil working in your crankcase, gearbox or sump contains information that could be vital to the performance and productivity of your engine or equipment. Contaminants that can indicate wear or cause serious equipment damage such as metals, water, raw fuel, acids, fuel soot and other solids collect in your lubricant. Using oil analysis to evaluate these contaminants is a scientific approach to predictive maintenance, allowing you a look inside your machinery to spot mechanical wear and contamination in its early stages. You’ll extend machine life, head off major maintenance costs and prevent catastrophic failure that can shut you down or leave you stranded, and you’ll maximize lubricant life

Oil Analysis - A Proven Industry Standard Maintenance Tool
Used oil analysis has existed as long as lubricants have been around. In the 1940s, the railroad industry began to analyze their lubricants for the various metals found in specific components of the engine. By tracking wear rates and trends from one sample to the next, maintenance could be anticipated and scheduled before component failure resulted in downtime and the loss of equipment productivity. This data allowed railroads to schedule teardowns when they were necessary, rather than after an arbitrary number of operating hours. The advent of spectrometric metals analysis gave rise to the practice of “predictive maintenance” which continues to be more cost effective than the standard of preventive maintenance. The oil analysis process consists of (1) lubricant sampling, (2) laboratory analysis and (3) interpretation of the results to determine the condition of the fluid and the machinery from which the sample was taken.

How the Oil Analysis Program Works

Oil Analysis Provides a Big Return for Your Small Investment by:
Extending equipment life by preventing premature component failure
Reducing maintenance costs by eliminating unnecessary component changes
Decrease in downtime due to premature scheduled maintenance
Enabling calculation of optimum drain intervals that will reduce lubricant costs
Eliminating complete teardowns based on guesswork
Enabling better assessment of equipment performance