neurospace
@neurospaceio
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neurospace helps industrial companies improve uptime and reduce operating costs by utilizing data proactively for decision-making and predicting future events.
Arhus, Denmark
Joined August 2018
What companies say about our data 4.0 event Sign up here (event is in Danish):
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Next data 4.0 event is 13 days from now, and you can sign up right here:
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RT @MLEnthusiastic: If interested in hearing more about #machinelearning and #predictivemaintenance, my presentation at #data40 is now avai…
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Condition-based maintenance detects whenever the condition changes (p), not when the change causes a breakdown (f). Predictive maintenance monitors the p-f interval so it is possible to plan maintenance at the optimum time.
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RT @IDAITDK: Første arrangement fra os her i det nye år. Webinar på mandag med Maria Jensen fra @neurospaceio, når vi kigger på #MachineLe…
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Which feature do you believe is the most important when estimating the quality of vinho verde red wine?
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Did you know that computer vision also can be used for predictive maintenance? Here are some great examples of how different segments can use computer vision for predictive maintenance
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This blog post is for you, who are interested in learning more about unsupervised learning, and when it gives value to your company to use.
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Is it possible to retrofit the machines you already have for predictive maintenance? The short answer: YES! In this blog post we give a simplified example of how you could do it. #machinelearning #predictivemaintenance #retrofitting
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Last Friday our astronauts went out and played Football Golf.
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Did you miss our previous Data 4.0 webinar on predictive maintenance and machine learning? Then you now have the opportunity to watch or rewatch it on our new YouTube channel.
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Do you remember the time you first learned to multiply? Or when you learned to drive a car? In both cases, you have no doubt been accompanied in your learning, by a supervisor.. This is the same thing we do in supervised learning.
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You don't need a high number of breakdowns to do Remaining Useful Life estimates! The dataset used is from @NASA and contains data from Aircraft engines which are quite expensive to maintain and breakdowns can be catastrophic.
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As a practical example of how we can approach predictive maintenance using sensor data, we will predict the likelihood of hard drive failure using S.M.A.R.T. sensor data from BackBlaze.
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Yesterday our awesome co-founder and ML engineer Maria Jensen pitched about predictive maintenance at the orbies @ Orbit Lab!
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“Reduce energy consumption in your household, and you will live longer”. This could be a headline in your favorite tabloid. Read about Correlation and Causation here.
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Interested in the difference between Condition-Based Maintenance and Predictive Maintenance? We have got you covered
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Today the office has moved outside. We are currently working on a blog post describing the differences between conditional based maintenance and predictive maintenance based on real data. Stay tuned for Friday next week! #predictivemaintenance #maintenance #data
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