Data-driven information supports Advanced Predictive Maintenance.

Industry 4.0 and Digitalization offer optimization opportunities for operations and maintenance functions. Innovations such as artificial intelligence (AI), machine learning (ML), neural networks, and cloud computing have raised the capability to collect, analyze and trend equipment condition/health in real time.

Vibration monitoring methods still struggle to provide and convert collected data into reliable real-time information. Too often, routine and preventive maintenance programs discover deteriorating conditions of rotating equipment after significant damage has occurred. Mr. Vedula emphasizes on how creating better maintenance and planning programs increases the operational excellence and facility uptime, thereby paving the way for maintenance to be a profit center.

Robust predictive maintenance programs, with the help of the right data & analytics, can help make information-driven decisions that can not only help reduce unscheduled downtime and lost productivity, but also to increase operational excellence and plant safety.

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