Digitalization & IIoT

33 posts

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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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Driving innovation – our strategic incubation­ programs

Digitalization accelerates numerous internal organizational processes and influences the development of new products and solutions. Growing complexity and shorter development times increase the pressure on organizations. In order to be able to compete with new companions on the market, speed is – besides speed – a major competitive factor. For this reason, Balluff has been implemented so-called „Strategic Incubation Programs” (SIPs) to develop new business ideas.

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The Emergence of Device-level Safety Communications in Manufacturing

Manufacturing is rapidly changing, driven by trends such as low volume/high mix, shorter lifecycles, changing labor dynamics and other global factors. One way industry is responding to these trends is by changing the way humans and machines safely work together, enabled by updated standards and new technologies including safety communications.

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Tool Identification in Metalworking

With start of industry 3.0 the users of machine tools began to avoid routine work like manually entering tool data. CNC machine tools gained more market share in metalworking applications. These machines are often equipped with automatic tool change systems.

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