Early warning

In industry we would rather know when something is about to break so it can be replaced before becoming inconvenient, causing personal damage and incurring expensive plant downtime costs.

With an ever-increasing amount of cash being spent on condition monitoring and predictive maintenance, the techniques themselves are becoming smarter at what they do with all types of sensor data.

It has been known for some time that vibrations in components such as bearings and shafts were a precursor to failure. even before the advent of data collection from a wide range ofsensors, engineers recognised something was more likely to go wrong if theirmachinery started to make unusual clanking or whirring sounds.

Once, finding the solution to these problems relied upon pressing your ear to the casing. But with today's sophisticated sensory monitoring equipment it is possible to examine in intricate detail vibration and sound patterns to give advance indication of something amiss in the works. One of the most advanced of these is