The CHALLENGES OF MOVING from preventive to predictive maintenance

摘要

Maintenance is in a time of transition. For years, two models have predominated for most maintenance organizations: They either ran equipment to failure, especially non-essential machinery, or put in a preventative maintenance program. While those models are still state-of-the-art at most companies, the next step is predictive maintenance, or using sensors to collect real-time operating data and artificial intelligence and machine learning to analyze the data and predict when a piece of equipment needs maintenance. It promises to revolutionize the way we operate systems, improving up time and reducing the overall cost of ownership. But, where are we in that transition?