In more ways than one, our lives and livelihood have been disrupted by the pandemic. When we were thrown out of the loop, we regrouped, we pivoted, and we adapted.

While we are still far from seeing the end of the tunnel, different facets of how we conduct business have changed and these changes are most likely to stay. Gone were the days when the majority of Filipinos would prefer to conduct business face-to-face and treat online meetings and transactions with a high degree of suspicion. Now, most of us are working in a work-from-home set-up attending various meetings using different platforms. Online training has also become the norm. Meanwhile, many technological advancements have also sprung up in the field of reliability engineering and predictive maintenance which promote remote monitoring even before the pandemic began but many industries and facilities have yet to try them. These improvements were largely for the sake of accessibility, speed, ease, and safety.


Online Oil Analysis

Oil analysis techniques are basically divided into three categories: oil condition, contamination condition, and machine wear condition. Oil condition tests check the nature and condition of a lubricant whether it is still suitable for use or not. Oil contamination measures the level of cleanliness of oil. Machine wear condition measures the degree and severity of machine wear. For a predictive maintenance strategy to run successfully, data collection should be satisfied. Oil analysis data collection is either done offline or online. 

Offline Monitoring

Offline monitoring involves the collection of samples and conducting of oil analysis away from the machine. Offline monitoring can be conducted through onsite test kits or laboratory testing. The result of offline monitoring testing is determined by a variety of factors such as sampling technique, transportation, and handling, and/or testing. Also, there are cases when a sample cannot be collected while the machine is running due to safety issues.

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Online Monitoring

Online monitoring involves the analysis of an oil sample while in direct connection to the lubricated system. Online monitoring has little effect on system flow. In online monitoring, the oil that passes through can be immediately analyzed real-time. However, the challenge with online monitoring is that implementation and installation are difficult and can impact the system.

With online monitoring sensors, real-time and continuous results are easily accessible. This comes in handy when faults are occurring and you need to progressively check its degree of severity and rate of deterioration. With online monitoring, you do not have to conduct oil sampling and oil testing and you do not have to wait long to get the results you need.

Currently, Le Price's product and service portfolio include PAMAS S40 which is a particle counter for the analysis of turbine oil-based liquids like hydraulic and lubricating oil. It has a wear-resistant ceramic piston pump that guarantees a constant flow. With a simple-to-use touch screen user interface the operation is made easy and intuitive. It can be used for batch sampling and online measurements.


  • Hydraulic oils
  • Turbine and insulation oils
  • Gear oils
  • Phosphate ester-based hydraulic fluids
  • Fuel

Some Product Features

  • Robust and convenient design
  • Lightweight only 8 kg
  • Customizable measurement analysis settings
  • Intuitive operation via touch screen
  • Automatic sample flow and volume control by wear-resistant ceramic piston pump
  • Measurement from pressureless up to 420 bar system pressure
  • Pressureless measurement of fluids with viscosities of up to 1.000 cSt at 22°C (equal to ISO VG320) without the need for accessories
  • Internal data storage of more than 4,000 measurements
  • Measurement printout via integrated thermoprinter
  • Same measurement accuracy as a laboratory unit
  • Multilingual menu navigation
  • Battery running time of more than 4 hours


Online Vibration Analysis

One of the most important considerations of condition monitoring is whether the data collected are relevant or not which makes real-time measurement convenient and safe. Real-time measurement is made possible when you are using online sensors. It also helps if your system already has an instant alert system that flags you whenever something is going on in your machine. What makes this extremely accessible is that reports can also be viewed in your maintenance office. Such are the capabilities of Valmet Online Condition Monitoring Tools. When choosing an online condition monitoring tool another thing to consider is the ease of integrating processes with its system. This makes collaboration better and more seamless between maintenance and operational functions.


Current and Future Trends in Condition Monitoring   

With the advent of the Industrial Revolution 4.0 and the rise of Internet of Things (IoT), organizations have begun integrating artificial intelligence and cloud computing along with online sensors into their system for better insights into machine conditions. While the current advancements in artificial intelligence are by no means perfect, they certainly addressed the limitations of manual analysis and calculations and created breakdown forewarnings much earlier than the conventional methods.