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.
Because pumps are such a critical part of the water treatment process, engineers needed a better way to know which pumps were online and which had failed.
Learn how Huntsman used TrendMiner self-service analytics in its digitalization evolution and production optimization.
Six Sigma is one of the most well known methods to transform whole organizations into a data-driven and continuously improving company.
The first steps may be hard, but in this white paper, we outline how you can start digitalization process small and scale fast with various use cases based on the level of expertise so you can continuously benefit from your investment in TrendMiner.
In this webinar, LNS Research will explain why companies today are empowering plant personnel with analytics that deliver real-time insights.
In this updated introductory video, Jeroen De Wolf discusses how to empower process and asset experts with existing data to analyze, monitor and predict process performance, without depending on data scientists.
In this webinar we will introduce the analytical benefits of combining time series sensor data with contextual data. You will see how you can use captured events as a starting point to continuously improve your production facilities.
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
