condition monitoring

9 posts

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Unsupervised anomaly detection using an ensemble of one-class random forest classifiers

Introduction Unsupervised anomaly detection with unlabeled data – is it possible to detect outliers when all we have is a set of uncommented, context-free signals? The short answer is, yes – this is the essence of how one deals with network intrusion, fraud, and other types of low-instance anomaly. In

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Improving black-box process efficiency using Bayesian Optimization

Instead of randomly or exhaustively iterating through combinations of algorithms and parameters, we can use Bayesian Optimization libraries to build up an in-memory approximation to the process we want to fine-tune. We can then make a our selections on prior knowledge.

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Predicting hidden events: inverting the time-to-event paradigm: Part 2

Time-to-event (TTE) use-cases crop up in many places across industries. Some examples would be: the prediction of customer churn (the sales domain), remaining-useful-life or time-to-failure TTF (predictive maintenance), or anomaly detection (machine monitoring). Some events are difficult to predict as they are hidden. We can instead try to look for interim events to improve prediction accuracy.

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Predicting hidden events: inverting the time-to-event paradigm: Part 1

Time-to-event (TTE) use-cases crop up in many places across industries. Some examples would be: the prediction of customer churn (the sales domain), remaining-useful-life or time-to-failure TTF (predictive maintenance), or anomaly detection (machine monitoring).Some events are difficult to predict as they are hidden. We can instead try to look for interim events to improve prediction accuracy.

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Process control in metalforming and stamping

In Metalworking a significant part of the products are realized by forming and stamping processes, especially for series applications. The monitoring technology for press control has achieved a remarkable progress within the last years.

Optimized cycle rates lead to increased productivity and output. At the same time, there is a rising risk of asset damage, especially if unexpected errors occur. Automated protection of the tools and dies helps to increase OEE. Sensors for process monitoring are key elements.

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Power Supplies in decentralized installations

When we talk about automation our main focus is on controllers, sensors and actuators. But also power supplies and connectors are important componts for the efficient setup and success of automation solutions. Power supplies with condition monitoring functions can help you to improve the lifetime of your system

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Optimize Utilization and Increase Transparency with RFID

Unscheduled downtimes in production due to worn out or unserviced molds in machines can cause high costs and are a well-known problem for a lot of companies. In order to prevent these issues and optimize the use of their injection molds, a Swiss chocolate mold producer installed a predictive maintenance system via industrial RFID technology.

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