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Use sensors and vibration analysis algorithms to detect and monitor the evolution of corrosion on static structures.
Corrosion can be one of the biggest threats to the longevity of assets.
Without proper monitoring, big industrial assets like power lines or pipeline can slowly wear down due to corrosion, causing leaks or failures and contributing to poor performance and reliability. In extreme cases, if corrosion is left unmonitored it can lead to the all-out failure of an asset, posing safety risks to personnel, huge equipment costs, and subsequent environmental damage.
Corrosion is the gradual destruction of a material (usually metals) caused by interacting with chemicals, electrochemical reactions, friction, or some other environmental factor.
Monitoring is observing and checking the progress or quality of something over a period of time.
So, put simply, corrosion monitoring is the tracking of the gradual destruction of materials over time.
Corrosion often first appears as a discontinuity in a material, such as a discoloration or some other change to its appearance.
This means that what you’re looking for when you set out to find corrosion are any irregularities in the wall or other surfaces that might reveal the existence of corrosion.
If part of an asset is found to have corrosion, it’s important to begin monitoring its growth so that you can understand how it is changing over time, and have the data needed to recommend maintenance work as appropriate in order to mitigate the damage.
Several types of corrosion are possible:
- Uniform corrosion spread evenly over the entire surface
- Non-uniform pitting corrosion with some small areas of deeper pitting.
- Exfoliating corrosion that propagates in planes parallel to the surface of the part when the grains are very flattened and elongated.
- Intergranular corrosion that forms at the grain boundaries.
We have the know-how to categorize vibrations and demonstrate the link between vibrational eigenmodes and the general wear level of the structure.
As here, in red the data collected on an obsolete structure with grommets at the limit of rupture, compared to the data recorded on similar structures after replacement.