Increasing the efficiency of machines and plants requires powerful, multifunctional solutions that provide data on the machine condition in addition to the machine control. With the condition monitoring information obtained from this the performance of each machine and thus of the entire plant can be optimized
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10 posts
Quality problems in the production of stamped and bent metal parts require data for analysis and sensors that provide it. Condition monitoring captures many data points that allow analysis and thus faster detection of the root causes of defects.
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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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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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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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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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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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Condition monitoring is considered highly complex and always associated with high investments. Not so with IO-Link. How IO-Link makes it easy for you to set up a monitoring network that is independent of the machine control system is the subject of this article.
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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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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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