Predictive Maintenance

Soft Sensor Technology

Our predictive maintenance solutions leverage our proprietary soft sensor technology. It uses already available process variables (temperature, pressure, etc.) to identify plant conditions that require maintenance intervention. The key benefit to using soft sensor systems is that they are completely customizable. Where hard sensors would be physical devices that could involve stopping production to install, soft sensors can be built based on a relationship between existing data and measuring devices.

Umetrics Predictive analysis

 

Predictive Maintenance | Downtime & Variability Reduction

  • Model and monitor for scenarios that will interrupt core processes
  • We have deep experience connecting predictive maintenance solutions to real-time data sources such as historians
  • Provides a continuous, real-time quality indicator which may be used for process control
  • Validates analyzer results and can be used to enter lab results manually, thereby preventing questionable data from causing a process upset
  • Supports several models/approaches: heuristics, machine learning, first-order dynamic models, and PLS models developed from SIMCA or a similar multivariate analysis package

Predictive Maintenance—Tangible Benefits

  • Prevents costly plant/process shutdowns and startups
  • Avoids costly equipment failure and breakdowns
  • Allows for proactive rather than reactive maintenance program
  • Combined with plant maintenance