Downtime is expensive — sometimes costing thousands of dollars every minute, a line sits idle. Traditional maintenance approaches often fall into one of two traps: reacting after something breaks or replacing parts on a set schedule whether they need it or not. Predictive maintenance takes a smarter route. By combining real-time data from your equipment with machine learning, it can spot problems before they cause an outage. With OPC Router, you can efficiently route PLC and sensor data into predictive models with minimal complexity.
LGH History Data Facilitates Predictive Maintenance
3 min read
If you're interested in LGH history data and are reading this, you likely have your own use case for working with InTouch LGH history files. Given that LGH files are a classic method for InTouch users to log historical process data, the use cases for LGH history data are similar to any other use cases for historical data. Trending and predictive analytics can be key methods that utilize historical data for identifying process issues and resolving them in an efficient and cost-effective manner.
This blog post covers a specific use case involving an engineering research student working on a condition and performance monitoring system for subsea hydraulic systems targeted at identifying the health of the system and supporting predictive maintenance.
