3L: Machine Learning, Deep Learning and Active Learning
Apart from working with existing tools in the state of the art (tensorflow, keras, Caffe, sk-learn, etc.) and the different programming languages, at LORTEK we design specific algorithms for industrial problems. In the information explosion in the current I4.0, we address the problem of dealing with different origins and types of data, their traceability, and the detection of false data. We create ad-hoc algorithms, to generate high-precision and quality prediction models.
An aspect that concerns us is knowledge obsolescence. Thus, we accompany our methods with Self-Learning techniques that guarantee maximum performance both in the industrial installation, and in the following tolerance of context changes (changes in product, parameters, or components).
We apply these methods to: predictive maintenance, product optimization, energy optimization, and fault prediction.