What Does OpMode do? 

OpMode provides engineers with a quick and easy way to run a machine learning algorithm on operational data from compressors, gas turbines, valves and any item of plant. OpMode performs PCA (Principal Component Analysis) to try to find failing or poor performing equipment.

Train OpMode on data from normal operation modes and receive notifications when abnormal modes are detected. OpMode can be used as an important tool in your Predictive Maintenance programs. As an example: When OpMode was used on choke valves without a choke model and with only pressures and position data, it highlighted a problem occurring 2 months before a failure which required the replacement of a choke valve.

Features

• ML-Based Mode Detection: Automatically identify plant operating modes using machine learning.
• Multi-PV Analysis: Analyze multiple process variables to define accurate operational states.
• Custom Mode Definitions: Easily configure and refine mode definitions to suit your plant.
• Operational Insights: Gain visibility into performance trends and deviations across modes.
• Integration Ready: Seamlessly integrates with existing industrial data systems and tools.