Predict
Anticipate future performance
Warn
Traditionally, predictive analytics is about defining the scope of prediction, collecting the data, developing and testing a data model, validating the outcomes and deploying the predictive model to the organization. With TrendMiner almost all of these steps can be skipped.
Prevent
Predicting process behavior with TrendMiner does not require a data scientist. Your process and asset engineers can immediately apply their subject matter expertise to solve potential production issues before they occur or plan preventive maintenance based on process evolution.
Predict
Through the “contextualization of asset performance with process data” early warnings can be extended to the level of predictive maintenance. With the captured knowledge, the organization can receive appropriate instructions what needs to be done or when to schedule the work.
Predictive analytics
Our next generation predictive analytics give you a glimpse of the future.
TrendMiner enables early warning detection of abnormal and undesirable process events by comparing saved historical patterns with live process data. The software calculates possible trajectories of the process and predicts process variables and behavior before they happen.
Users are shown how far the process has evolved already, plus how TrendMiner predicts the process it will continue to evolve in future. There is no time delay – the results are shown instantly. This gives operators the ability to see if recent process changes match the expected process behavior, and to pro-actively adjust settings when it does not.
Predicting process behavior with TrendMiner does not require a data scientist. TrendMiner is a self-service solution that it designed to be used by subject matter experts. When your engineers can access predictive analytics insights directly, they are able to immediately apply their subject matter expertise to solve potential production issues before they occur.
Early warnings & notifications
Using defined fingerprints for best performance, automatic alerts can be sent to the appropriate stakeholders, such as control room personnel or field engineers, to take appropriate action in the event of process deviation.
People can either be warned through notifications or more actively through sending emails with a pre-set message that instructs them what to do given the situation predicted. In this way, the process can be proactively adjusted to avoid waste and ensure product quality.
TrendMiner’s early warnings capabilities can be used for process control alarms to assist operators as they monitor and control processes, and alert them to abnormal situations.
TrendMiner predictive analytics help operators by informing them before the event occurs. The operators can also respond to each situation more quickly using the knowledge that has been captured in TrendMiner. This helps them to control production levels and quality, avoid costly shutdowns and reduce safety risks in a timely manner.
Soft sensors
Want to predict key measurements or lab analyses that are expensive to obtain or come in with too much delay? TrendMiner supports creating and deploying soft sensors using an interactive and step by step approach with access to all process data. Help your process experts to build better predictors.
Our approach is based on extensive experience with soft sensor design. It eliminates the need for a data scientist in the loop and reduces the lengthy process of modeling and deployment.
Asset performance & predictive maintenance
Overall Equipment Effectiveness (OEE) depends on the process in which the asset operates. With TrendMiner, all tags related to the asset and the process in which it functions in can be used to analyze its performance. We call this the “contextualization of asset performance with process data”.
By contextualizing asset performance with process data in this way, data-based predictive maintenance becomes possible. A common example is the fouling of heat exchangers. The process performance directly impacts the fouling and with use of TrendMiner you can predict when cleaning is needed. This can then be scheduled according to production planning to prevent reduced performance.
“Industrial analytics is crucial for optimizing our production process and meeting our organizational objectives.”
Jan Meireleire
Engineering Manager at Ashland
Learn more about TrendMiner software
Analyze
When there’s a process problem, you need fast answers. That’s exactly what TrendMiner is designed to deliver. With a high speed search engine, advanced filter options and patented pattern recognition technology, you get data-based insights that are actionable. Our self-service analytics speed up your root cause analysis and help you identify new areas for optimization.
Monitor
Your data never sleeps, neither does our software. With TrendMiner you can monitor live processes 24/7 and receive notifications for events of interests. Automatically capture knowledge to speed up response times, improve collaboration between teams, avoid abnormal situations and automate routine data inspection tasks with a click of a button.
Contextualize
Make better decisions, faster with contextualization of time-series data. Context can be captured automatically via monitors, manually added or disclosed from other business applications. With TrendMiner you can illuminate your time-series data with context, to get an clear view on operational behaviour and improve operational excellence faster.
Whitepaper
Dive deeper into TrendMiner software with our Key Capabilities whitepaper. In this comprehensive resource, we provide an overview of our analytics solution and how it works. In addition, you’ll get further information about all the capabilities of our software, as well as details about the business applications and data sources with which we offer integrations.
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
