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CharlotteEmployee

published in Success Best Practices

📣 The Bandwagon Effect and How It Can Boost Your TrendMiner Rollout

Have you ever noticed how we’re more likely to jump on board with something when we see others doing the same? That’s the Bandwagon Effect in action—a powerful psychological phenomenon where people adopt behaviors, trends, or tools simply because others are doing it. Like everything in life, this has both positive and negative effects, but either way, it’s a proven behavioral insight that we can harness to make your TrendMiner rollout a success. 🚀 What is the Bandwagon Effect?The Bandwagon Effect happens when people feel motivated to join a trend or adopt a behavior because they see their peers doing so. In a workplace setting, this means employees are more likely to engage with new software if they see colleagues embracing it, achieving success, or simply talking about it positively. 💡 Using the Bandwagon Effect for TrendMinerHere’s how you can use this effect to ensure a smooth rollout of TrendMiner:Highlight Success Stories: Share examples of teams or individuals who have already

120

21 hours ago

PelinsuCommunity Manager

published in Trainings

[Recording] Advanced Formulas

Hi,Here is the recording of our Advanced Formulas webinar.From creating dynamic daily production variables to forecasting time remaining before a tank reaches critical levels, this webinar covered essential skills to supercharge your data analysis.Watch the full recording below:English German If you have any questions or feedback about this webinar, feel free to share them in the comments below.

270

1 day ago

Natasha NeeseEmployee

published in Functional Tips & Tricks

Monitoring Short-Duration Events in TrendMiner

In the chemical industry, monitoring specific events that occur within a defined time frame - such as under X minutes - is crucial for ensuring safety, maintaining product quality, and optimizing processes. While such short-duration events might be fleeting, their impact can be significant, and timely detection is essential to prevent disruptions or inefficiencies. In this article, I will demonstrate how to monitor short-duration events in TrendMiner effectively, enabling proactive responses to these critical occurrences.Why monitor short-duration events?Short-duration events can provide key insights into process dynamics, equipment performance, and potential risks. By monitoring and addressing these brief occurrences, you can enhance operations and safeguard compliance. Here are some practical examples:Environmental compliance and safety: Detecting leaks or abnormal emissions that last less than X minutes is essential for mitigating environmental risks and ensuring safety protocols a

130

1 day ago

David MerschhoffEmployee

published in Success Best Practices

Assess and develop your TrendMiner skills using the TrendMiner Skill Matrix

Increase TrendMiner usage and improve user skills by applying a skills matrix that provides key users with a structured path for skills development, providing a clear roadmap to progress from someone who is not aware to beginner, advanced, expert and finally to TrendMiner Coach level. Embark on the journey and reach the summit to become a TrendMiner coach! Follow these three steps to get started and benefit from the TrendMiner Skill Matrix yourself by improving your Skill Level: Take our TrendMiner Quiz and see how many points you have scored. Download the TrendMiner Skill Matrix, open the Excel sheet "Key User questionnaire", evaluate your skill level based on the points you have achieved in the quiz and the definitions of the Key Value Streams (General, Monitoring, Reporting, Dashboarding & Troubleshooting) given for each skill level (Not aware, Beginner, Advanced, Expert, Coach). Refer to the second sheet of the Excel file "Trainingsmaterial per Key Value" for relevant t

533

2 days ago

fvandaelEmployee

published in Use Cases

Valve opening counter

BackgroundThis use case shows how to create a dashboard that shows an overview of the number of valve openings and the current valve state. In the past this used to be a non-automated procedure, requiring a lot of manual work to count the amount The objective of this dashboard is to streamline and automate the monitoring of valve operations, reducing manual effort and enhancing real-time visibility.Example of a valve opening tagSolutionThe solution includes the following steps:Value based search: Create a value based search to identify all the valve opening events you want to display on your dashboard. Save this search for later use. Contextualisation of Events: Select “Add as Context Item” for the identified events. Fill in the context item details such as Component (valve opening tag), Type (High Flow), and Description (Valve open). Monitor Setup: Go to the “Monitoring” tab and enable a new monitor. Use the saved valve opening search and set it to create a context item for each event

782

2 days ago

PelinsuCommunity Manager

published in Success Best Practices

[Clariant] Energy Management in Knapsack

Hi everyone,Here is the recording of Clariant’s TrendLab presentation. In this session, David Judersleben (Assistant Plant Manager) @DavidJudersleben presents an use case on Clariant's energy management system, highlighting how it efficiently optimizes energy usage, reduces CO2 emissions, and lowers operational costs.About Clariant's Energy Management System:The Knapsack site of Clariant in Germany, a producer of flame retardants for construction and coatings, uses TrendMiner for continuous improvement in energy monitoring.Key Benefits of Using TrendMiner:Identifying energy waste, generating project ideas for improvement Substituting traditional lab analyses with real-time process monitoring Enhanced predictive maintenance Effective management of energy top-load Comprehensive project visualization Alarm raising and deviation tracking to preclude penalties due to excessive energy consumptionOne of the most significant achievements realized through this system is the optimization of hea

130

2 days ago

PelinsuCommunity Manager

published in Trainings

[Recording] What's New in TrendMiner 2024.R3.0?

Hi everyone,Here is the recording of the recent TrendMiner 2024.R3.0 release webinar. This webinar includes new functionalities like;Scatter Plots to Event Analytics, Dashboard Configuration Improvements, Tag Dependencies in The Active Tags list, Plug 'n Play connectivity to Canary HistorianWatch the full recording to learn how these updates can benefit your operations and help you achieve your goals more effectively.You can find the slides here.Watch the webinar recording below:If you have any questions or feedback about the new release, feel free to share them in the comments below.

370

5 days ago

KevinEmployee

published in Use Cases

Documenting, Tracking, and Analyzing Batch Cycle Times

BackgroundIn batch processes, tracking key metrics like batch start and end times, cycle durations, and critical values such as maximum temperature can provide valuable insights. For instance, maintaining temperature within a certain threshold during a batch step can prevent quality issues and ensure process safety. This use case will guide you through how to document, track, and analyze batch cycle times, utilizing TrendMiner’s TrendHub and ContextHub features to streamline and automate this process.ChallengeTraditionally, batch cycle times have been recorded manually in Excel spreadsheets by board operators. This manual entry system often results in inconsistencies, especially when operators miss recording the start or end times of batches. TrendMiner provides a more reliable solution by automatically identifying and documenting batch steps and storing this information alongside tag data. By automating these records, TrendMiner reduces the reliance on Excel and increases accuracy.Sol

160

6 days ago

eddiehEmployee

published in Success Best Practices

Bridging OT and IT: 3 Key Concepts for Successful New Software Implementation

In process manufacturing, especially in chemical engineering, collaboration between Operational Technology (OT) and Information Technology (IT) teams is essential when implementing software like TrendMiner. For the software to work well, data from physical processes needs to be integrated with analytical tools. This requires good coordination between the OT and IT teams. Here are three key concepts that can help make your work with the IT team more effective.Data Integration and AccessibilityTo make software like TrendMiner work effectively, the data from physical processes needs to be easily accessible. The OT team collects real-time data from sensors and control systems, while the IT team ensures this data is available for analysis by providing the right infrastructure and secure connections.CybersecurityWhen OT systems (which often use older technology) are connected to IT systems, cybersecurity becomes crucial. IT teams focus on protecting systems from cyber threats, while OT needs

130

7 days ago

TomMinEmployee

published in Admin Corner

Which information is useful when creating a ticket for TrendMiner support?

When creating a ticket for the TrendMiner support team it is useful to include detailed information about the issue. This will ensure that the issue can be investigated and fixed in shortest amount of time possible.Creating a detailed ticket will prevent a lot of back and forth communication and will increase the chance of a quick resolution.Steps on the creation of a detailed support ticket:Write a clear and concise title that describes the issue with a few words.Useful information to include in the ticket description:A detailed and clear explanation of the issue. Screenshots or videos provide additional clarity. Upload the appliance logs. This can be requested from your administrator if you do not have the required permissions: https://documentation.trendminer.com/en/how-to-extract-appliance-logs-.html If there are multiple TrendMiner installations within your organization. please specify which installation you are experiencing the issue on. Which version of TrendMiner are you using?

220

12 days ago

fvandaelEmployee

published in Functional Tips & Tricks

Reporting on consumption/production

TrendMiner offers three main methods for calculating and tracking consumption or production over time, depending on your goals. You can use the Statistics Table, Calculations on Search Results, or set up a Consumption/Production Tag for continuous reporting. 1. Using the Statistics TableCalculating consumption or production for a given period is a simple one-step process, assuming there is already a tag representing the flow, rate, ... that is to be quantified. If this is not the case, such a tag can be created as a rate or through a formula. Once such a tag is in place you can navigate to the relevant period and open the statistics table. Here all the corresponding values can be read immediately. Often the total amount for the selected period is of interest, which can be read from the integral value, although the average value could also be interesting.Note: TrendMiner does not interpret the units of your tag. The integral value calculation always assumes your rate is expressed in 'pe

370

12 days ago

PelinsuCommunity Manager

published in Success Best Practices

[ICIG] Tackling Use Cases in Key Value Streams: Troubleshooting, Monitoring, Reporting & Daily Dashboards with TrendMiner

Hi everyone,We're excited to share a recording from the recent TrendLab Europe event (TrendMiner Community event), where Yusuf Hamurcu from ICIG provided an insightful presentation on how they leverage TrendMiner for troubleshooting, monitoring, reporting, and daily dashboard operations.Using TrendMiner brings ICIG the following value:Enhanced Process Insights: ICIG uses TrendMiner to gain real-time visual warnings, quickly identifying any out-of-spec products or batches. Improved Quality Control: Since adopting TrendMiner's soft sensor, ICIG has eliminated out-of-spec batches in their lengthy distillation process (5-15 days). Reduced Raw Material Consumption: In 2023, a valve leak was detected that resulted in a raw material loss of approximately $350,000, but it was detected and troubleshooted it so that it can be avoided now and in the future. Optimized Operations: TrendMiner's performance tags and daily dashboards support better decision-making on shutdowns, maintaining high standa

400

13 days ago

KevinEmployee

published in Use Cases

Create custom visualization in DashHub via MLHub

BackgroundThis use case shows how to create a custom visualization / chart that can be displayed on your DashHub dashboard as a tile. We can do this via MLHub. In this use case example, we will create a bar chart to track a key process metric at a facility, monthly average energy usage. Once we have added this visualization as a tile to the target dashboard, we can add other visualizations, as needed, following a similar procedure. These dashboards can then be shared with your peers. SolutionThe solution includes the following steps:Create a TrendHub view: Create a TrendHub view with all of the relevant tags. Adjust the time period on your focus chart. You will want to include all of the data that will be used to create your visualization. Save this TrendHub view. TrendHub view with focus chart duration spanning the entire year of 2024. Create a new MLHub notebook: Navigate to MLHub and create a new notebook. In

714

21 days ago

Wouter DanielsEmployee

published in Functional Tips & Tricks

Deriving a flowrate tag from a level or weight measurement

It can occur that we wish to know the flowrate of a certain material stream, but that the only measurement we have available is the weight or level of an intermediary vessel. This is especially applicable to the processing of solids, where measuring a flow directly is challenging. In this example, let's then work with the concept of deriving a mass flow from a total weight.In essence, the mass flow is nothing more that then change (delta) of the weight of our vessel, multiplied by a constant value (to obtain the result in the desired units). As a starting point, we could for example take the weight in kg of our vessel 5 minutes ago, subtract the current weight, divided the result by 300 (the number of seconds in 5 minutes), to obtain a mass flow in kg/s:Note that the choice of the interval duration (here 5m) should depend on how noisy our weight measurement is. The longer we take the interval, the smoother our flow tag will become, at the cost of increasing the lag with which changes i

530

23 days ago

Stijn AgtenEmployee

published in Admin Corner

Virus scanners

To ensure security, TrendMiner allows the installation and running of virus scanners next to the TrendMiner application, only on single node deployments and with certain conditions. While antivirus software is an important security measure, it is crucial to note that TrendMiner's performance is closely tied to I/O performance as the application builds a time series index using many small local files, grouped into time-based structures. Virus scanners, particularly those that scan all disk I/O, may still cause performance degradation or failures in some cases. Important Considerations:Performance Impact: Antivirus processes that scan disk I/O can introduce delays, potentially affecting TrendMiner’s responsiveness. In extreme cases, it may cause system failures, such as:User experience degradation due to slower I/O performance and CPU/Memory spikes caused by the antivirus software. Delays in monitoring events, due to slower indexing, related to slower I/O performance TrendMiner upgrade

220

27 days ago

Usman I.Employee

published in Success Best Practices

Does your organization have these 3 steps for faster time to value?

Time to value is a key metric directly impacting the bottom line—profitability. The longer it takes, the more value is lost. TrendMiner can reduce the time to value down to a fraction when proper steps are implemented. Engineers struggle daily gathering data from various sources, stitching event information with process data, and using dated technologies built for megabyte-scale data. All this is done in addition to meeting the baseline operation and production at a minimum.Here are three simple steps your organization can implement for faster time to value.Clearly communicate the objectives and goals The organization's vision must be communicated from top to bottom. There is a reason the organization has selected TrendMiner! Objectives of the project must be aligned with the vision. Engineers involved in the day-to-day must be fully aware of the desired goals. The Sponsor, Project Manager, and the end-user must feel that they are integral to the set vision. Streamline the train

110

28 days ago

Natasha NeeseEmployee

published in Functional Tips & Tricks

Getting Rid of Spikes in Sensor Data

In industrial data analysis, preprocessing sensor data is crucial for accurate results, especially when dealing with sudden, abnormal spikes. These spikes can distort your analysis and lead to incorrect conclusions if not addressed properly. In this article, I will show you how to eliminate spikes from your sensor data using four different methods in TrendMiner, ensuring that your analysis is reliable and accurate.Examples of spikes in sensor dataSpikes in sensor data can occur due to various reasons such as sensor malfunctions, temporary communication errors, or unexpected events in the process. For instance, a sudden spike in temperature readings from a reactor might be caused by a faulty sensor rather than an actual temperature increase. Similarly, pressure spikes in a pipeline could be due to momentary errors in measurement. Removing these spikes from the dataset ensures that the analysis focuses on the real data and not on these anomalies. Methods for getting rid of spikesOption

220

28 days ago

PelinsuCommunity Manager

published in Trainings

[Recording] Take Your Formulas To The Next Level

Hey all! 👋Here is the recording of our October advanced level webinar.📽️ Watch this recording to learn:How to add upper and lower limits to any trend 🚧 How to cap process variables displaying unrealistic values 📊 How to calculate the percent difference between two process variables 📈 How to create a formula tag that takes a value of 0 or 1 based on if a set of conditions is true 🧮Watch the Recording:German - Bringen Sie Ihre Formeln auf die nächste Ebene English - Take Your Formulas To The Next LevelSlides:GermanEnglishIf you have any questions or need further clarification, feel free to drop a comment below. We’re always here to help! 😊Happy Learning!

640

28 days ago

Tommy PetersEmployee

published in Success Best Practices

Discovering and Implementing a Scalable TrendMiner Solution

Are you looking to discover where TrendMiner can bring additional value to your organization? By following these steps, you can follow a method that is used by TrendMiner customers to identify a scalable solution to implement across multiple assets, lines & factories. Step 1: Identify a strategic processThe identified process should be equipped with the required sensors to capture the data needed for analysis and monitoring. Choosing a high-value process ensures importance within the organization. A process that is similar across multiple lines or factories is preferred as that increases the scale at which the solution can be deployed. Step 2: Gather expert insightsThe process experts of the identified process have extensive knowledge on how the assets should operate to achieve optimal results. Gathering and organizing a conversation between the process experts yields the information we need for the next step. Step 3: Define Process limitsOnce the ideal operating zones for the proc

370

1 month ago

PelinsuCommunity Manager

published in Trainings

[Recording] Craft And Adopt Your Golden Batch (Profile)

Watch this webinar to become a master in creating fingerprints and golden profiles. You'll learn how to define your ideal profile based on multiple calculations, analyze deviating process values, and detect & track deviations from the ideal profile.Links:Spanish German English

530

2 months ago

fvandaelEmployee

published in Functional Tips & Tricks

TrendMiner Tag Builder Data Import

Ever wanted to include data from external sources in your TrendMiner analysis?The Tag Builder Data Import functionality allows you to do just that! This post will equip you with some helpful tips and tricks to ensure a smooth data import experience.Getting StartedSupported File Format: Only CSV (comma-separated values) files are supported for data import. Make sure your data is formatted correctly before proceeding. File Requirements: File Extension: Ensure your file has the proper .csv extension. Encoding: Use UTF-8 encoding for your CSV file. File Size: The maximum file size supported is 45 MB. Data FormattingFirst Row: List the tag names you want to appear in TrendMiner in this row (Column 2 onwards). These names must be unique. Second Row: Descriptions for each tag can be added in this row, but are optional (Column 2 onwards). Third Row: Specify the units of measurement for each tag in this row, but are optional (Column 2 onwards). Fourth Row: Define the tag type (analog, discret

250

2 months ago

fvandaelEmployee

published in Use Cases

Monitoring Conveyor Belt Efficiency in a Water Purification System

👉🏻 BackgroundIn a water purification system, efficient sludge transport is crucial tomaintaining optimal operations. The system employs five conveyor belts,which are dynamically activated based on the sludge load. At any giventime, a minimum of one and a maximum of four belts may be inoperation. However, the dynamic nature of this system introduceschallenges. If one of the belts malfunctions or operates inefficiently, it canlead to increased sludge accumulation, potentially disrupting the entirepurification process. To prevent this issue, a robust monitoring solution isessential to ensure that all belts function properly, regardless of the load.🕵 ChallengeMonitoring the operation of the conveyor belts is complicated by thevariability in the number of active belts. This dynamic operation makes itdifficult to determine when a belt is malfunctioning versus when it issimply under a different load condition. The challenge lies indistinguishing normal variations in performance from actual

170

2 months ago

eddiehEmployee

published in Success Best Practices

3 Main Goals to Define for TrendMiner at Your Site

Are you a project manager or sponsor and want to lead the way and make TrendMiner successful at your site? A successful project must have some clear goals to help you determine the right people and strategy to ensure its success. Rolling out TrendMiner at a new site or introducing it to a new group isn’t the exception.Here are 3 goals that can help drive a successful roll out.Reduce Process Variability and Cycle TimesConsistency is crucial for achieving high-quality production. One of the primary goals for any site is to reduce batch-to-batch variability and optimize cycle times. With TrendMiner, you can better identify key parameters that impact variability and make adjustments to your process (batch or continuous), leading to increased efficiency.Leverage Data from Multiple SourcesIntegrating data from various sources like LIMS, electronic batch record systems or logbooks and maintenance systems is crucial for achieving a comprehensive view of your operations. TrendMiner allows you t

210

2 months ago

TamiaEmployee

published in Functional Tips & Tricks

Context Items Types – What are your options and how can you make more?

Background So, you've found yourself wanting to historicize something you've observed in TrendHub. As the process engineer for the past two years, you've noticed a clear pattern between unit swings and recurring filter change on a feed pump. Now, you need to compile these findings into a list and annotate them on the trends. That is the only way you can convince everyone else that this is indeed the root cause of the swings and not just some random incident. Although you've briefly heard of ContextHub, once you reach this screen, you find yourself wondering, "What is a component, and what do you mean by Type???" Component and Type are two parameters that must be assigned to create a context item, or a block of information linked to a data point or a period of data associated with an event identified in your datasets. The Component links your observation to a particular tag, while the Type assigns a category that can later be used as a filter in ContextHub. Types There are several pre

260

2 months ago

TamiaEmployee

published in Use Cases

Quickly count the number of vessels filled for production accounting (Method #2)

Background Manufacturing plants often rely on both railcars and trucks to ship their products to distributors, retailers, or directly to customers. The choice between these transportation methods depends on various factors such as the nature of the goods, cost, distance, and delivery time requirements. Railcars are typically used for bulk shipments of heavy and large quantities of goods, such as raw materials, chemicals, and pellets, due to their capacity to transport large volumes efficiently over long distances. Conversely, trucks offer greater flexibility and are ideal for shorter distances and time-sensitive deliveries, providing door-to-door service and easier access to various destinations. This combination of transportation methods allows manufacturing plants to optimize their logistics and ensure timely and cost-effective distribution of their products. Method #1 can be reviewed here. Although that method yields accurate results, it may not always capture events of varying du

410

2 months ago

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