Scientific Publications

Find all of Amiral Technologies' scientific publications

Comparison of anomaly detection models in an industrial context

14/03/2023

Application to non-cyclic datasets

Sensor fault detection using machine learning applied on acoustic test bench

27/01/2023

Amiral Technologies present its collaboration with Airbus Aircraft on the detection of failures and the use of a dictionary of failures to identify failures seen on a test bench.

Benchmark: comparison of failure prediction models

01/05/2022

The prediction of industrial equipment failures connected in blind mode is based on algorithms for detecting anomalies or new features on raw or transformed time series data.

Deploying blind failure prediction is finally possible

Address

Amiral Technologies
12, rue Ampère
F-38000 GRENOBLE

Join us

Follow us