Process experts used TrendMiner to identify inlet and steam flow timeframes and help control steam loss in a two-part filtration process.
Learn how you can use self-service analytics software to reduce downtime by setting up anomaly detection models.
Optimize your conveyor belt performance with TrendMiner. Detect patterns and prevent downtime to increase efficiency and reduce maintenance costs.
Take control of your energy consumption with our Energy Management Dashboard. Monitor, analyze, and optimize your energy usage in real-time.
Before starting a root cause analysis to set up new monitors and alerts, engineers used TrendMiner to calculate steam balance.
A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.
Engineers used TrendMiner to create condition-based monitoring of fouling in a Pygas stripper so they knew the right time to clean.
This petrochemical plant used TrendMiner to create energy balance models and determine when 17 bar steam consumption was excessive.
When a low-density polyethylene reactor suddenly shutdown after maintenance, engineers used TrendMiner to determine it was human error.
Engineers used TrendMiner to learn when to clean the aeration elements used in biological wastewater treatment despite a high variance of variables.
Blog Posts
Achieve Better Operational Storytelling with a Connected Factory8 April 2024 - 15:44- New Event Analytics Capabilities, Custom Calculations, and Better Operational Agility – Welcome to TrendMiner 2024.R11 April 2024 - 17:43
- Navigating the IT/OT Convergence in Pursuit of a Smart Factory12 March 2024 - 10:11
