Blind failure prediction for the most complex equipment.
The blind failure prediction software that monitors the health of your equipment throughout its life.
Amiral Technologies was created on scientific inventions from the GIPSA laboratory within the CNRS of Grenoble: generators of extremely discriminating characteristics.
Amiral Technologies takes advantage of the best of both approaches (supervised and unsupervised) by working on dynamic learning throughout the life of the equipment.
The management of electricity and gas is a major issue at the local, national and even international level. Various issues exist throughout the value chain.
The manufacturing sector has for several years been at the forefront of the high expectations of industries to implement the number 1 application of the Industry 4.0 paradigm: predictive maintenance.
Because transport is a constantly evolving connected sector. The ability of predictive maintenance software solutions to adapt to different operating contexts, to be embedded, etc.
Access our use cases to learn more about how we work.
Look for articles on all topics, such as our sectors of activity, our DiagFit software, datascience…
All Amiral Technologies publications serving industrial maintenance, vibration analysis, condition monitoring and artificial intelligence technology.
The concept? Series of short tech videos hosted by our team. The goal? Explain in a simple way our know-how and our innovations within the DiagFit software. With the subject: Data Science, web development, pilot projects…
Application to non-cyclic datasets
