Data Analytics Services

Spectrolytic’s DataInspectIR data analytics capability is advancing asset preventative maintenance and failure mode root cause troublshooting with next level data analysis.

Our customers are massively benefitting from real-time data analysis of trends, regimes, step function changes and parametric slope  changes to defend against the catastrophic failure and provide better planned maintenance and sustainability through enhanced oil usage.

This level of data analysis is unlocking lubrication features previously unseen from laboratory periodical checks.

Use Case Example – FluidInspectIR Inline – Marine Diesel Engine

The power of the FluidInspectIR® inline Oil Condition Monitoring sensor.

Left is a data plot for one of our marine engine FluidInspectIR® inline installations.

We typically monitor oxidation, sulphation, TBN, soot, KV100C and water.

  • During this period the sensor started to pick up water increase and spiking and the FSE was alerted to this via our data analytics.
  • The customer subsequently found a faulty cooler leaking water into the engine oil.
  • The spiking regime is deemed to be related to the engine not running and the oil being cooler and having higher water content.

The customer was very happy and their feedback is that our sensor has saved the main engine from potential failure from detecting the failing cooler.

Use Case Example – FluidInspectIR Inline – Mobile Construction Vehicle – Engine

The power of real-time slope analysis.

Left is a data plot for soot and oxidation for an oil drain cycle on an mobile piledriver engine.

There was a big issue with soot generation during the first cycle and customer chose to change a specific part and re-test.

You can see the ‘early gradient’ of the soot slope was the same as previous thus giving the customer a different root cause approach.

Use Case Example – FluidInspectIR Inline – Gas Engine

The power of real-time monitoring of rapid changes in parametric data due to running regime.

Left is a data plot for nitration, oxidation, TAN and TBN for a gas engine.

The engine undergoes continuous ON/OFF cycling dictated by power demand and this results in some fast degradation mechanisms.

Having ‘hourly’ data points allows the customer to target ‘top-ups’ of fresh oil to offset these rapid degadation changes. The top-ups produce the step function shift seen on the SPC charts and drop in nitration, oxidation and TAN and increase in TBN.

The customer is in complete control of their lurbication data and has the comfort of knowing when the warning or fault levels will be breached for the oil – right down to the hour!