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Condition-based maintenance 🔧 is powerful. Monitor what's happening and act only when needed. But some maintenance tasks still need to track time 🕑. Regulatory requirements don't care if your asset is running smoothly. Some failure modes are unpredictable and preventive by nature. And if your equipment runs 2 hours in winter and 18 in summer, a calendar-based schedule is useless. You need to track actual operating hours since the last maintenance event.The strongest programs use both. You monitor bearing temperature and oil quality in real time. You also ensure critical seals get replaced every 5,000 operating hours. With TrendMiner's custom calculation feature, you can build a time-since-maintenance tag by defining the operating conditions that "count" toward your interval, then tallying the actual hours. Set a monitor and get alerted when you hit the threshold. When the equipment has actually earned the maintenance.Want to build operating-hour counters for your equipment? Reach out

Hello 👋,The recording of the webinar “What's New in TrendMiner 2026.R2.0? “ is now available.Watch the recording:  Release Notes SlidesHere is the summary of the webinar: Mobile Dashboards: Your TrendMiner insights are now on your phone, with no app to install, so they travel with you on the plant floor, on a walkround, or away from the control room. You can even scan a QR code on a piece of equipment to open the right dashboard in seconds.Increased Level of Nesting for Calculated Tags:Calculated tags can now be nested up to 20 levels deep, so you can build hierarchical roll-ups that mirror your plant: compute KPIs at unit level, aggregate at area level, and roll them up to plant level, with each step saved as its own reusable tag. The tag dependency browser also gains an Edit button that takes you straight to the Tag Builder.TrendMiner's New MCP Server:It connects your process data and analytic tools to the AI assistant your team already uses. Engineers and operators can ask question

Weather and climate conditions have a measurable impact on manufacturing operations. Temperature fluctuations affect material properties, humidity influences product quality, and atmospheric pressure can impact equipment performance. By bringing weather data directly into TrendMiner, you can correlate these environmental factors with your production metrics in real time, revealing patterns that spreadsheet-based analysis misses.Quick exampleHere's a Python script you can run within custom calculations to extract the latest weather data and create a new tag with it. You can also create your own custom connector using our API documentation; reach out to your Customer Success Manager or the TrendMiner Support Team for more information.import pandas as pdfrom datetime import datetimeimport pytzimport osimport requestsfrom trendminer import TrendMinerClientclient = TrendMinerClient.from_token(token=os.environ['ACCESS_TOKEN'])output_file = os.environ["OUTPUT_FILE"]# Set your facility timezon

Do you have spaced events such as batches, equipment startups or production runs of a particular product type that you want to visualize side by side? Apply a manual filter or a search-based filter that captures the timeframes between each event, then collapse the filters. You can now see these events stitched next to each other for a clearer view of each. 

New to TrendMiner or five years in, this cheat sheet keeps the platform's core capabilities one page away. It follows the natural path of an analysis, from descriptive and diagnostic through to predictive, then covers the knowledge management and dashboarding features. 

Gantt charts give morning meetings a clear starting point. Every asset, its operational state, and any events from the last shift are laid out on one timeline, so teams can quickly see what happened overnight, agree on which anomalies are worth digging into, and move into investigation without spending the first 15 minutes piecing the story together from trends.A few practical applications we've seen work well:Instant "did we run?" answer. Green operational bars show uptime coverage at a glance, and any gaps immediately draw the eye. Batch cycle flags. Conditional formatting turns any batch red when cycle time, temperature, or quality exceeds threshold, so the meeting starts with the exceptions rather than the routine. Planned vs. unplanned at a glance. SAP or CMMS maintenance events sit inline with process upsets, removing the "was this us or them?" debate. One-click drill-down. Click any bar to open the context item and jump into TrendHub with tags and timeframe pre-loaded, moving fr

 Hello 🖐In Part 1, we got to know Yves and looked back on his journey with TrendMiner and our Community.  Yves is Director Technology at Valero Energy, the largest independent refiner in America, based at their San Antonio headquarters. He’s responsible for some key applications related to Process Key Performance Indicators (KPI) monitoring, engineering documentation management and analytics with TrendMiner.Now let's look together at the lesson Yves believes every process expert should know and his advice for the next generation.Your LegacyWhat’s the achievement or moment you’re most proud of in your career?My unique background allowed me to be at the service of others, like Process SMEs, and I am proud that my work helps them with their day-to-day work and make them shine.What’s the most valuable lesson you’ve learned that you’d say “every process expert should know this”?This may sound odd, but I believe that there is a very high value in documenting your work and sharing knowledge.

"How do I prove the ROI of TrendMiner?"The value is usually there. But it lives in people's heads, in emails or in reports that have gone lost in Sharepoint. When the business asks for proof, you end up reconstructing instead of reporting.In the latest Success Series webinar for Strategic stakeholders, our CSM Lead ​@Tommy Peters presented a framework to capture value continuously. It's a lightweight system with three layers, explained below… Curious to see the full webinar? Check it out here: Layer 1: Capture at the moment of workWhen an engineer finishes a meaningful piece of analysis, they report four things right then:What problem it addresses How big it is roughly Who should validate it When it was completed.Don’t ask them to make a full ROI calculation, just capture enough context to build on later.Give the size scale some shape (e.g., Large means it affects a full production line or represents an estimated annual impact of €50,000 or more). Use whatever you already have: a field

Bridge the gap between identifying issues in your enterprise applications and analyzing the underlying process data, cutting troubleshooting time dramatically.Create a linkage between your external applications and TrendMiner by dynamically creating a URL to either a Dashboard or a TrendView with a pre-populated timestamps and process tags.Following the structure below to create URL Link to a (1) Dashboard or (2) Trend View.Dashboard Embed:https://your_trendminer_url/dashhub/dashboard/123?embed=true&startDate=2025-09-16T14:05:17.590Z&endDate=2025-09-18T14:05:17.590Z TrendHub View:https://your_trendminer_url/hps/index.html#/chart/externalView?start=1709856000000&end=1710374400000&tag=tagname1&tag=tagname2&tag=tagname3 

Here’s a question that pops up regularly in customer meetings, usually 2 to 3 years in:"What value are we actually getting from TrendMiner?"It's a fair question. And it almost always leads to a second one that's harder to answer:"What value were we hoping to achieve?"When nobody has a clean answer to that second question, people start listing anecdotes, pulling up usage numbers, trying to build a case on the fly. It feels defensive rather than confident. Even when the results are real… The fix is actually simple: a one-line vision. One sentence, written before the program gets started (or now if you don’t have one yet), that answers: what are we trying to achieve, for whom, by when. Bayer called it: "Uncover hidden potential to initiate process improvements directly on site." Ten words that gave the program lead a filter for every use case decision and the sponsor something concrete to fund and protect.From there, the use cases selected themselves. A root cause analysis of viscosity pr

Hello 👋,We had the 2026.R1.0 release webinar yesterday. Thanks to everyone who joined!For those who missed it, here are the recording, slides and full release notes:📽️ Watch the recording  📊 Check out the slides📄 Full release notes  Share Your Product Ideas with usFunctionality requests can be submitted at https://community.trendminer.com/ideas Requests are reviewed regularly by the product team. Several features in this release originated from Community submissions. Here is the summary of the webinar: Collapsed Plotting When a filter is active, users can now collapse filtered-out time periods. The remaining data is stitched together and scaled to fill the full chart area. Gap indicators mark where data is non-continuous. This view also applies to Dash Hub tiles. Context Field Configuration Administrators can now configure individual context fields per type with the following options: mark a field as required, set a field to read-only, define field display order, set decimal precis

Every process engineer has been there. A lab sample comes back out of spec, and now you're working backwards through twelve hours of data trying to figure out what went wrong. The investigation eventually finds something. Maybe a feed shift, a heat exchanger drift, a utility upset. By then the batch is already off-spec and the conversation in the morning meeting is uncomfortable.The goal isn't to investigate faster. It's to see the excursion coming. TrendMiner has the building blocks for predictive analytics in the standard toolkit, no ML Hub required. The workflow below turns one investigation into a soft sensor that runs continuously and warns you before the next excursion lands. Customers like Bayer (a 10% production capacity increase), Kuraray (30 hours of unscheduled downtime prevented) and CP Kelco (potential savings above $1M per year from process deviation reduction) have all turned this kind of analytical work into measurable operational outcomes.The path from excursion to sof

The TrendMiner version lifecycle policy is something many admins only discover after something goes wrong. This post explains what it means and what kind of support you can expect at each level. For the current list of supported versions and end of life dates, always refer to the TrendMiner Lifecycle page. Support levelsEvery major TrendMiner release has a support level associated with it. Minor versions always inherit the same support level as their major release.Full support (latest and latest − 1) : The two most recent major releases receive full SLA coverage. High-impact bugs and security issues are actively patched, and fixes for low-impact issues are included in the next release. Patches are released periodically — subscribe to the patch notification form to stay informed, or check the Patch Release Updates page directly.Upgrade support (at least 1 year after release date) : Once a version falls outside the two most recent releases, it enters upgrade support. Only upgrade-blockin

Enhance your TrendMiner dashboards with AI-generated video walkthroughs. Use Copilot-powered Clipchamp to quickly create professional videos that help users understand and get more value from your dashboard data. Step 1: Create a Clipchamp Video in SharePoint Step 2: Generate Your Video with AIWrite a clear description of your video's purpose and provide the script for your audio or on-screen text. Let Copilot AI do the heavy lifting—it will generate a polished, professional video in seconds. Once created, export it as an MP4 file, ready for embedding. Step 3: Embed as an External Content Tile in TrendMinerPreview your video in SharePoint to get the iframe source URL, then embed it as an external content tile in TrendMiner.