DiagSign Automatic Feature Generation and the State of the Art

We just published a new white paper in our document library « DiagSign Automatic Feature Generation and the State of the Art ».

This paper summarizes the state of the art in terms of academical methods to solving the problem of feature generation from time series.

These can be classified in two categories :

  • Structured models approaches
  • Dimensionality reduction approaches

DiagSign is a protected invention that was born in the labs of the French National Research Centre (CNRS). It uses a purely mathematical method to automatically generate features from time series that are relevant, highly discriminant, and very adapted to transitional signals.

DiagSign can generate as many features as needed, possibly thousands, in record time and in a massively parallelizable way. In addition, it is agnostic to the type of signal nor does it care what equipment is diagnosed.

The white paper explains why Amiral Techologies’ DiagSign surpasses these academical methods and avoinds their drawbacks :

  • It does not assume an a priori structured model
  • It keeps all the information in the signal
  • It offers tremendous and low cost scalability

Amiral Technologies at AI Paris 11-12 June 2018

Amiral Technologies will be present at the next edition of AI Paris, 11-12 June, Cité de la Mode et du Design, Paris. Stand S16.

AI Paris https://aiparis.fr is the AI industry gathering event adressing all aspects of the AI revolution, its use cases and business value and including a prestegious set of speakers and exhibitors.

See the event Teaser Video here.

Amiral Technologies’ products are featured among this edition’s top novelties here :


We will present our innovation in Industrial Predictive Maintenance and our ambition to be the leader of a Zero Defect- Zero downtime industry.

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