IIC Journal of Innovation 6th Edition - Page 12

How Democratized Artificial Intelligence Can Move Manufacturing to a New Evolution Pace specific machine on high and low temperature, vibration and humidity indicators (by the way, you can now anticipate the future of them using AI predictive tools). parallel, different algorithms to provide different probabilities of selecting of the best AI algorithm which fit to the data and helping to eliminate non-relevant data from the dataset; mostly in case of supervised AI models. But it is not enough if you want to detect potential issues: You may have to detect a repetitive temperature and humidity fluctuation hidden in the normal behavior of the equipment which could have an impact on your production efficiency and quality. The aim is to automatically detect this unknown repetitive pattern to understand why and correlate this abnormal behavior with the potential side effects, using techniques like Grubb’s test 17 , SAX (Symbolic Aggregate approximation) 18 or LOF (Local Outlier Factor) 19 . The most important is that business applications embedding AI are helping based on the business and application domain and by computing, in The second case could be to detect, for instance, one small fluctuation: While usually the temperature fluctuation is medium, a small fluctuation should generate at least a warning to investigate and take a corrective action. The same as predictive AI, the new real-time capability provided by new Information Technology (IT) technologies (Graphics Processing Unit (GPU), In-Memory, Cloud and High- performance communication) is making this feature available to make fast decisions in day-to-day activities. Of course, this technology can be used for many topics like operator mistake detection, raw material or Figure 3: Example of anomaly detection application for industrial equipment 17 https://en.wikipedia.org/wiki/Grubbs%27_test_for_outliers 18 https://jmotif.github.io/sax-vsm_site/morea/algorithm/SAX.html 19 ; http://www.cs.ucr.edu/~eamonn/SAX.htm http://scikit-learn.org/stable/auto_examples/neighbors/plot_lof.html IIC Journal of Innovation - 11 -