To optimize the relationship between wind speed and power generation, operational experts at this wind farm used TrendMiner.
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.
A drop in sulfur recovery could have environmental and regulatory effects, so engineers used TrendMiner to save this solution for the future.
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.
Engineers at this wastewater treatment plant learned using TrendMiner why its pH levels were higher after a partial pipe replacement project.
When an oil company needed to figure out the flow rate from a well, it used TrendMiner monitoring to keep the wells operational and prevent sudden shutdowns.
Blog Posts
Low-code and No-code AI & Analytics Solutions Yield High-Value Use Industrial Use Cases13 September 2024 - 15:19- Building a Foundation for AI & Analytics with an Industrial Data Fabric30 August 2024 - 23:12
- TrendMiner’s 2024.R2 Release; A Complete Platform to Facilitate Event Analytics and Operationalize Industrial Data8 August 2024 - 16:38
