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Articles: Oil and Fluid Analysis
Combining In-House and Outside Laboratory Oil Analysis
By Garry Sands
Most companies rely on outside laboratories to analyze there time-based oil samples. Every six months, or perhaps once per year, oil samples are gathered and sent out for routine time-based analysis. So, for instance, we will be able to say a certain hydraulic reservoir has been sampled every six months, or once yearly, and then we at least know the condition of the oil at that point in time.
Engineering an Effective Oil Analysis Program
Many organizations throughout the world have implemented oil analysis programs to better manage their equipment and lubricant assets. While some have received only marginal benefits, a few have reported substantial savings, cost reductions and increased productivity. Success in an oil analysis program requires a dedicated commitment to understand the equipment design, the lubricant, the operating environment and the relationship between the test results and the actions to be performed.
GOOD Oil Analysis Starts With GOOD Sampling Practices
By Jarrod Potteiger
Proper sampling methods are an essential part of an effective oil analysis program. In many cases, the quality of oil analysis results and the subsequent decisions that are made are no better than the quality of sampling practices. Poor sampling methods can lead to incorrect diagnoses which can initiate unnecessary corrective actions, or, they may prevent abnormal conditions from being observed.
Increasing Accuracy in Lubrication Testing
By Anne Spano, Applied Industrial Technologies
Creating ideal conditions for lubricant sampling will help eliminate misleading results.
Integrated Oil Analysis: The Key to Early Detection
By: Mark Barnes
When it comes to oil analysis, there are a number of options, from simple inspections to onsite instruments, and from basic test packages to full blown "forensic" lab analysis. But which one's the best? Which one will provide the earliest detection and the most information to successfully diagnose a failure? The answer is all of them!
Oil Analysis Strategies for Problem Investigation
We have all seen the CSI (Crime Scene Investigation) TV shows, and marvel at the technology used to bring the guilty to justice. I get a chuckle when I see a gas chromatograph spit out a report for the forensic investigators which are incredibly detailed- such as the time they took a swab of oily material, and identified it as a motor oil used in a 2005 Harley Davidson bike, complete with detail on where you could find it in the Florida area. Whereas much of this is make believe, it is fact based. Oil analysis is an incredible effective condition monitoring tool. Applying a little of the CSI investigative techniques to an oil sample, particularly from a suspect piece of machinery, can provide a wealth of information, and most importantly, a direction to pursue. We can apply this type of problem solving matrix when evaluating oil samples for problem solving. We will outline an approach to investigating an oil sample, used by our laboratories, and then give a few case study of problem identified by a good analysis investigation.
Oil Sampling: Still the Foundation for a Successful Oil Analysis Program
By Jason Kopschinsky
A decade ago, I learned the true value of an oil sample.
I was working in a steel mill, sampling roll mill gearboxes and screening them onsite for ISO particle count, ferrous density, moisture and viscosity. As you can imagine, these gearboxes get pretty beat up both inside and out, so it was not uncommon to see high particle counts and associated ferrous wear in many of the samples. On one occasion in particular, one of the gearboxes had exceeded the cleanliness target by a small margin. This too was not uncommon. Contamination control, storage and handling, and relubrication practices were all in need of improvement in this facility. What was significant was that the ferrous density for the sample from this gearbox was off the charts. Clearly, this was information that I needed to pass on immediately. To my surprise, my warnings fell on deaf ears. I wrongly assumed that when I passed along this information to the maintenance foreman that alarms would sound, maintenance staff would assemble and the problem would be dealt with. Instead, nothing happened. What eventually happened was this gearbox failed catastrophically, resulting in twenty-seven hours of lost production time and a host of associated costs and lost revenue.
PPM Distribution, Is it Better than ISO Code for Interpreting Particle Count Data?
by Ray Garvey
Emerson Process Management
Originally published in Lubrication & Fluid Power Magazine
ABSTRACT:
A brilliant new method called PPM distribution calculates precisely how much particulate debris is in the lubrication system. The systems debris values are calculated by multiplying the parts per million of debris by the lubricant volume to determine milliliters (ml or cc) of particulate debris in three adjacent size ranges: 4- to 6-microns, 6- to 14-microns, and >14-microns. Peaks in the distribution plot indicate the nominal size for each different source of contamination or wear. The proportional area under each peak reveals how much contamination or how much wear debris is in the lubrication system. This quantitative new method presents particle count information in an intuitive format. The result is easy interpretation of system contamination and realistic insight about the size of wearing defects. Examples are given showing how the PPM distribution can provide insights that might be missed by using the ISO 11171 code values for contamination control and wear indications.
Procedure for establishing an effective Oil Analysis program
Oil is often times known as the bloodline of industrial facilities. Defining oil in this manner definitely emphasizes the importance it has on the health of equipment. So just how much do you know about your oil?
The Truth Untold Not All Oil Analysis Reports Are Created Equally
By Evan Zabawski
As we see the trend of both on and off-highway heavy-duty diesel engines switching to multigrade oils, it becomes more and more important to check the 40°C viscosity, as well as the 100°C viscosity, in the used oil analysis. While both numbers may be reported on a used oil analysis report, the lab may have chosen to only measure one and merely calculate the other.
Utilizing Analytical Ferrography for Root Cause Analysis and Failure Prevention
by Walt Huysman, CLS, OMA
There are many tests available for used fluids analysis. Some tests are qualitative while others are quantitative in scope. One test often overlooked is Analytical Ferrography. Complete Analytical Ferrography is often referred to as the oil analysis equivalent of criminal forensic science. The test method relies on a visual, microscopic evaluation of particles, extracted and deposited on a microscope slide called a Ferrogram. Based on an examination of the shape, color, edge detail, the effects of a magnetic field and other diagnostic tests such as heat treatment and the addition of chemical reagents, an assessment of the active wear mechanism can be made.
Welcome Paperwork for Oil Analysis
If you are like me, you strive to reduce the amount of paper in your life. Now there is a new form of paper you will want to add to your life if you are involved with machinery condition monitoring and more specifically, oil analysis!


- February 28
Motor Electrical Predictive Maintenance and Testing Training - March 19
RCM-2012 Reliability-Centered Maintenance and Root Cause Analysis Conference - April 17
Enterprise Asset Management (EAM) and Computerized Maintenance Management System (CMMS) Summit - April 24
Asset Operations Excellence Master Class and the Manufacturing Game - May 1
Focused Change Management for Reliability Initiatives and the Reliability Game - May 15
AM-2012 Asset Management Forum - June 5
CBM-2012 Condition Monitoring and Predictive Maintenance Forum - July 23
Infrared Level I Certification Course - October 3
Maintenance Strategy Master Class Level 1 - October 9
Focused Change Management for Reliability Initiatives and the Reliability Game

