Today, we continue our series of blog posts highlighting presentations from the 2nd Edition of Seville Machine Learning School (MLSEV). You may read the first post about the ‘6 Challenges of Machine Learning’ here.
One of the very interesting real-world use case presentations during the event was that of Guillem Ràfales from SENER. Founded in 1956 in Spain, SENER is a multi-national private engineering and technology group active in a set of diverse industrial activities such as construction, energy, environment, aerospace, infrastructure and transport, renewables, power, oil & gas, and marine.
- understand how various internal TBM parameters are related to temperature changes
- try and predict such temperature changes to avoid machinery wear or failure
The team worked on a large dataset from a past SENER project that contained hundreds of measurements internal to TBM operations sampled every 10 seconds. Some of the key measurements included torque, speed, pressure and chamber material attributes. The fact that notable oil temperature variations tend to take place gradually and infrequently added to the overall challenge in the form of a highly unbalanced dataset. Despite these, BigML’s feature engineering, algorithmic learning resources were put to great use. The team was able to uncover key insights with the help of Association Discovery during the data exploration phase followed by Anomaly Detection and Classification modeling that ultimately helped SENER technicians isolate an important subset of instances, where the oil temperature increases could be anticipated in advance. The entire custom workflow was captured in the BigML platform for traceability, easy re-training and automation purposed as seen in the plot below.
If you’ve hung around thus far, it’s time for you to take a more in-depth look into this exciting project pushing the limits of Machine Learning-powered smart applications in the field of Construction Engineering. The end-to-end Machine Learning process underlying this endeavor was managed and presented by BigML’s own Guillem Vidal. Now, please click on the Youtube video below and/or access the slides on our SlideShare channel:
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