Nobody likes doing work that isn’t needed, since it consumes time and money with no discernable return. In an ideal world, we would perform the minimum amount of maintenance required to maximize performance or uptime. But how do we figure out when the perform that maintenance? Big data provides a better answer.

Predictive maintenance isn’t new. Mechanics have been doing it since they started working on machinery. But thanks to better sensors, bigger storage, and smarter algorithms, organizations are able to monitor machinery and predict impending failure with levels of precision that were previously impossible.

Source: datanami.com
Author: Alex Woodie