Tag "data analytics"

Hand in hand with the process data

Alarm! Is there now a hectic rush at the control station? Or does the operator lean back and relax, press a button to acknowledge the alarm and continue to sip the coffee he bought a minute ago?
Both are possible, both are interesting information – usually when it comes to alarm management for the analysis and reduction of alarms according to EEMUA 191, for example. But even at the beginning of a data analysis, a look at this data makes sense.

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Optical fiber temperature sensing leads to competitive advantages thanks to integration

With fiber-optic temperature measurement, Yokogawa offers you an alternative measurement method that enables you to continuously record direct temperature profiles in your processes and plants and to integrate the measurement technology into your existing automation environment with only one Ethernet interface. This opens up new possibilities. The central components include the measuring station (DTSX series) and the fiber-optic temperature sensors.

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SBA and data analysis all mixed up

Data analyses: Our brain is a true master of pattern recognition. No wonder that this ability of the human brain stimulates imitation and thus became the model for machine learning. Learning from data to recognize patterns and laws. Against the background of process analysis, data is truly abundant in the process industry. Sometimes more, sometimes less structured, sometimes of more, sometimes of less high quality.

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SBA, nature and times of change…

…or, what we can learn from nature? Module Based Automation Engineering – Synaptic Business Automation Process automation has always been considered conservative, and indeed it still is today. Its methods and its ways of working are proven, and robust hardware

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Analyze your data – Step 4: Improve

What do you do with the results of the data analysis? Process monitoring? Soft sensors? Online optimizer? Learn more about the possibilities to improve process efficiency…

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Analyze your data – Step 3: Analyze

Analyze the big data puzzle: different sources, different formats! Yet whatever state your input is in, you need to end up with a database where each parameter is contained in a separate column and each row is clearly assigned with a timestamp, batch number and / or item number. Even more! Learn what.

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Analyze your data – Step 2: Measure

The “Measure” step, in which you collect the data is highly relevant for the success: your data must be of a sufficiently high quality and you must have recorded all important parameters. Learn more.

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Analyze your data – Step 1: Define

Data analysis – yes or no? If your production costs fluctuate heavily, if you’re unable to achieve the required product quality or stability, or if your products require multiple treatments, then it’s worth taking a closer look. Analyze your data!

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Analyze your data – Success in 5 steps

Anyone who’s ever carried out a data analysis needs no telling that the time and effort can often be considerable. Maybe not always, but certainly in a lot of cases, the benefits are well worth all the hard work. And if you take the time upfront to think about the quality of your data – and the most efficient way to collect it – you can save yourself quite a few problems later. Learn more…

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