Situation
In certain chemical plants, reactors may contain catalyst beds. The catalyst bed loses activity over time and needs to be replaced on a routine basis. It is critical that preventative maintenance is scheduled at least a few weeks prior to catalyst failure, as any premature catalyst failure could be detrimental to the production lines.
Solution
The engineers wanted to monitor the failure rate of the zinc oxide catalyst, so they can forecast when the catalyst will reach the end of useful life. Knowing this in time helps to schedule maintenance timely.
Approach
- Smoothed out reactor temperature tags using TrendMiner aggregations.
- Zoomed in to the current catalyst run temperature and utilized predictive mode with two historical layers.
- Visually identified the end of useful catalyst life on the sub-layers.
- Placed scooters for the two most similar catalyst runs to quantitatively mark the threshold for the end of useful life
Results
- With the click of a button, a forecast based on historical data can be presented to the subject matter expert, who can then inform maintenance, operations, and supply chain to allow for more accurate production scheduling.
- The useful remaining catalyst life, based on historical performance, can be successfully predicted, which in this case was 3-7 months.
- The analyses performed can be applied to other packed bed reactors.
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
