Oil Analysis Need Not Be Like Finding A Needle In A Haystack
Oil sampling analysis has been the backbone of all oil reliability programs for the past century.
The foremost goal of an oil analysis strategy is the early detection of oil degradation, contamination and machinery wear. This early detection can bring about several important benefits.
Typical practice was/is to analyse oil samples in accredited oil labs and whilst oil samples provide a significant amount of information of an oil's condition and the presence of contaminants, it is a slow and costly process that can be akin to finding a “needle in a haystack”.
Whilst not trying to duplicate laboratory derived results, by providing real time analysis whilst the equipment is still operational, online oil sensors will continuously monitor wear debris generation.
With the advent of sensors, these were typically simple single point dielectric, conductivity or permittivity measurement devices detecting the rough oxidation level of the oil with little sensitivity to other key parameters.
More recent sensor advancements are now capable of detecting degradation of not only overall quality, but estimating percent soot, total base number, relative humidity, additive depletion, etc, all whilst the equipment and asset is still in operation – no downtime periods.
Miniotec offers two (2) complimenting sensors for oil analysis which have proven to be an effective tool for determining failure modes for both equipment and the lubricant.
The wear debris sensor provides very early detection of mechanical failure within an asset. The sensor can detect and categorise ferrous and non-ferrous particles as small as 40μm thus offering ‘best in class’ sensitivity. Competing technologies are typically only able to detect 120 – 150 μm particle sizes. This is insufficient to identify important failure modes in gearboxes, particularly within wind turbine applications.
The online oil quality sensor is the worlds most advanced sensor of its service and is the only real-time oil quality sensor for monitoring the health state of lubricating fluids and capable of replacing most periodic (preventative) oil sampling.
The sensor provides continuous insight to oil health, promoting condition-based maintenance practices such as optimized fluid drain intervals and reduced dependence on offline analysis. This solution uses Electrochemical Impedance Spectroscopy (EIS), a sensing method based upon analysing the fluid’s electrical properties to determine its condition. EIS is used across a range of frequencies to track changes in the impedance over time. The benefits of EIS include:
Different frequencies correlate more closely with the various actual condition indicators.
The EIS solution utilised in the Oil Sensor is superior to competition sensors which only perform single frequency analysis
These sensors can detect most, if not all, key oil events and project remaining useful life of the oil while the asset is in operation.
While these sensors cannot exactly duplicate lab analysis results, they can provide the necessary insight to make maintenance decisions well before damage occurs remotely, in harsh conditions and hazardous environments.
Adopting online oil quality sensors is a key enabler to shifting the oil sampling paradigm from periodic to true ‘real-time’ condition-based monitoring whilst the equipment is still online and operational. Best in class reliability programs have found a step change in asset longevity and performance by implementing online fluid sensor in their oil monitoring programs.
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