Talk by Dr. Thomas Fritsch at the 8th Regensburg Transformer Symposium

At the 8th Regensburg Transformer Symposium Dr. Thomas Fritsch will give a talk entitled „On the Current State of Artificial Intelligence (AI) and its (possible) Use in the Energy Industry“. The abstract to this can be found after the links to the organizer and the conference schedule.

 

Organizer: DTC Daemisch Transformer Consult

Schedule: Draft of the conference schedule (only available in German)

Speaker: Dr. Thomas Fritsch, CEO of Tokeya Deep Data Dive GmbH & Co. KG

Co-Speaker: Dr. Frank Wirner, CTO of Tokeya Deep Data Dive GmbH & Co. KG

 

Abstract:

The near-perfect concurrence of 4 fundamental technological trends – very fast (also parallel computers; very high communication and storage density (smartphones, tablets etc., cloud storage & computing); very large amounts of data (Big Data - e. g. from sensors) and very effective new algorithms (Deep Neural Networks) – has since 2012 experienced a breathtaking upturn in artificial intelligence (AI). Since then, the AI has penetrated important areas of society all over the world at an ever faster pace.

The talk will highlight the current state of development of the AI and explain why reporting on it is not a hype (this time). The working method of the main carriers of the AI, the (deep) neural networks (NN), is explained by means of practical examples from the energy technology and economy. It is made clear that this technology is a very efficient, because adaptive technical implementation of well-founded (complex) statistical learning procedures, which cannot be equated in any way with the known “expert systems” (and their weaknesses).

The topic of predictive maintenance of important equipment of the network infrastructure (e.g. of power transformers in the power grids), which is of interest to practitioners and participants of the transformer symposium, will be treated by means of an online software tool for the intelligent condition assessment of anonymized transformer data of an industrial partner as an example for the possible efficient use of AI methods in transformer diagnostics.

The talk concludes with an outlook on the presently foreseeable future development of the AI without succumbing to the usual and common threat scenarios or euphemisms of the potential actual dangers of the AI.

Slides of the talk: PDF Download (only available in German; new page 11)

In the talk addressed video:   Google’s self-driving car