Prolonging Machine Life and Efficiency with Big Data
There are few things worse for a large manufacturer than pausing to repair a machine in need of a new component. The company’s “just-in-time” production deliverables falter, as does its reputation for reliability. Rather than wait for the component to arrive after the machine breaks down, why not have the part in stock the week before to prevent the shutdown?
This is one of several goals of the “Industrial Internet,” a term coined by General Electric to describe the integration of complex physical machinery with networked sensors and software that pinpoint when the equipment will require a tune-up. The data produced by the sensors may include water temperature, oil pressure, vibration and even the shedding of microscopic metal bits detected by magnetic metal sensors.