Par Peter VowellThe full impact of product connectivity has yet to be realized by the industrial world. When people think of the internet of things (IoT), many picture consumer devices - smart sneakers, connected doorbells, maybe even home security. The IoT has farther-reaching implications, however. The ability to stay constantly connected is creating big changes in equipment maintenance, allowing tools and processes to constantly report on their own status. The current marketplace of predictive maintenance is being transformed by these changes, but it will take more than a few fancy sensors to create something truly revolutionary. The idea of predictive maintenance isn’t a new concept. It was being suggested by engineers
back in the early nineties, to prevent machine failure due to oil contamination. While the idea may not be new, industry capabilities have vastly changed. New connectivity equipment has combined with low-cost sensors to provide accurate quality monitoring. Processing power has become increasingly easy to obtain, allowing for comprehension of the vast array of information sensors produce. Machine learning has risen to new heights, enabling complex adaptability suitable for an equally complex world. The result of these advancements presents itself as intelligent and adaptive predictive maintenance and is in huge part due to the IIoT.