Nanoprecise Sci Corp organized a webinar on “Is route based monitoring becoming obsolete today?” where Predictive Maintenance Expert Dries Van Loon covered the limitations of Route based Monitoring and the way forward with Automated Wireless Monitoring.
Some notable points from the webinar were:
Manufacturing Industry has been following a route-based monitoring approach for ages. Route-based analog measurement devices constituted of vibration meters in the initial years, which focussed on a data collection mechanism that was very time intensive. It also faced the challenges of memory restriction and increased expenses. In addition, it requires highly skilled personnel to collect & analyze data, which consumes more than 66% of the time. This leaves limited time for taking corrective actions and troubleshoots. Scheduling the monitoring activities in a route-based system is even more troubling as it requires a special planned maintenance window, with reduced or halted production.
Wireless Monitoring mitigates this problem by enabling to capture data at fixed locations every minute, with an increased focus on anomaly detection, by means of edge processing or cloud computing. It also does not require any kind of a routine presence as it works remotely via Wi-Fi or Cellular Networks. Wireless Monitoring allows for lifetime monitoring of the asset, thereby ushering the peace of mind. A fully equipped ecosystem of wireless sensors and AI-based automated software provides approximately 6X ROI over the downtime cost incurred with respect to the manual monitoring and analysis. The webinar was concluded with a discussion on how the Industrial Internet of Things (IIoT) can accelerate the Maintenance 4.0 Strategy by facilitating an interconnected system that provides a complete picture including Process & Condition Monitoring Data, Process Control (SCADA), and Maintenance Planning/Actions (CMMS), thereby enabling the power of Machine Learning and Analytics to provide actionable insights for automated anomaly detection and fault identification along with Remaining useful life prediction.
Meet the Expert:
Dries Van Loon
Vice President – Customer Success