Selecting a commercial oil analysis lab is a process that involves many different considerations. No two labs are exactly the same and they vary in many significant ways. Many labs specialize in certain industries, vary in turnaround time, and employ different test capabilities and quality assurance methods.

Alarming techniques vary to fulfill the requirements of different oil analysis objectives. The alarm serves as an important “trip-wire” to tell the analyst that a threshold has been passed and that action is required. Goal-based targets, aging limits, rate-of-change alarms and statistical alarms may be applied.



It is important that the oil analysis test slate include those tests that provide meaningful information for a specific piece of equipment. Some tests are routine in nature while others are exception tests, triggered by the abnormal level of a routine test.

The hardware used to extract lubricant samples should not disturb sample quality but should support it. It should be easy to use, clean, rugged and cost-effective.

Fluid analysis remains an integral part of maintenance and reliability activities. To reach the highest level of condition monitoring, you must master the science of predictive maintenance. 


Not long ago, maintenance was simply performed when equipment broke down. Although run-to-failure can be advised in specific circumstances, it is typically the exception and not the rule. 


Maintenance then became a calendar-based (or time-based) event such as changing your oil every 5000 kilometers or changing the batteries in your smoke detector every six months. Although such activities can prevent some failures and reduce costs over reactive maintenance, they tend to mask many of the problems that can occur and require maintenance on equipment that otherwise is working just fine. It is the reason unlike other machine condition monitoring techniques that employ a defined period testing, many oil analysis programs are based on annual or semi-annual sampling. This sampling infrequency compromises the predictive capabilities of oil analysis. One example is an engine that has a small coolant leak. If we change the oil that contains the coolant before it causes damage to the engine, everything is fine and we don’t even know there’s a problem. However, if we miss an oil change or try to extend an oil drain interval, the small coolant leak can now cause damage and possible failure of the engine. 


Be proactive and best oil Analisis Progarm in conjunction with proper selection of sampling frequency must be adjusted to consider machine and application-specific criteria like penalty of failure, fluid environment severity, machine age and oil age.

The biggest machines that do the most work are made up of smaller machines that are made up of components, it becomes obvious that when a large machine breaks it is normally due to a small component or components failing. 


trilub gives a method by which you can lower your operational costs and increase productivity by establishing a performance based procurement specification on the very components that are a decisive for your facility, plant, mill, crane, truck or mine. In order to develop the specifications it is important that manager what you are spending the most money on also known as a spend analysis. 


The quality of the procedure by which a sample is drawn is critical to the success of oil analysis. Sampling procedures should be documented and followed uniformly by all members of the oil analysis team. This ensures consistent use of the correct procedure and helps to properly institutionalize oil analysis within the organization.


It will also require a basic understanding of influential components and materials physical properties which are also covered.  Finally, by uncovering the various contributors that adversely affect the profitability, a sound procurement specification can be drafted. 

Not necessary all potential sampling location definition in a machine will produce the same effect. Some locations are upstream of data-generating sites (a valve rack or hydraulics pump, for example) and others are downstream. Some machines require multiple test points to answer specific questions related to a machine’s condition, location of a problem and severity.


When I’m in a field and am asked where to install a test point, I look for a single spot where I can gather as much as useful conditions about the entire system. This is called the primary sampling location. At this position, the goal is to be able to draw a single sample that acts as a "fingerprint" of the system.


Nevertheless, a secondary sampling location should be installed on most systems to be able to pinpoint the cause of any fault seen on an oil analysis report. 


• Just as humans undergo medical tests to understand their health, conducting oil analysis provides insight into the health of a machine.

• The objective in test selection is to maximize the information gained from a relatively narrow and cost-effective set of tests.

• Primary tests provide a broad view of health indicators (oil health, contaminant load, machine health) with relatively few tests.

• Secondary tests provide much more specific types of information that closely pertain to the type of machine being analyzed.


Oil analysis is the control tool that the reliability engineer must use to grade the effectiveness of machine lubrication practices and activities.

Specifically, trilub introduces ideas that should be considered when developing a machine and lubrication practices diagnostic program based on oil analysis, such as:

  • Defining a test profile for industrial machines and the test slate.

  • Differentiating between primary and secondary tests.

  • Identifying primary test methods, their purpose and benefits.

  • Identifying secondary tests, their purpose and benefits.

Monitoring the condition of the oil allows you to optimize drain intervals so that you can capitalize on the fluid's full service life. Performing fewer oil changes minimizes maintenance costs and maximizes uptime.


State-of-the-art fluid analysis identifies dirt, wear particles, fuel dilution, coolant and other contaminants that can cause catastrophic failure or significantly shorten equipment life.


Monitoring system cleanliness and filtration efficiency can help you keep your equipment longer and significantly reduce replacement costs.


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