Blind failure prediction for the most complex equipment
Maximizing profitability, improving performance, and differentiating themselves from the competition are today’s priorities for manufacturers. Amiral Technologies, a pioneer and expert in blind failure prediction, helps manufacturers get the most out of their critical assets by promoting the implementation of a strategy ranging from preventive to predictive and prescriptive maintenance.
Our failure prediction software monitors the health of equipment throughout its life
Combining a technological core based on incremental Machine Learning and an intelligent automated interface for business experts, DiagFit is a failure prediction software featuring numerous scientific inventions. This “no code” configurable software is used to monitor the health status of all types of instrumented equipment, whether they are concentrated in one point, geographically distributed or in motion. With DiagFit, deploying a predictive maintenance approach finally becomes possible and quick to implement.
Failure prediction on an anonymized ship's system
Using anonymized healthy data acquired over a year on the ship, DiagFit was used to create a unique model in hours that captures correlations between sensor data and produces a health status per sensor.
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Frequently Asked Questions
The prediction of industrial equipment failures in blind mode is a term invented by Amiral Technologies to illustrate its inventions contained in its DiagFit software. “Blind mode” means that Amiral Technologies’ DiagFit software does not need to know the type of equipment it is monitoring, and does not need historical failure data to produce predictive models. This operation allows extremely fast implementation of the software.
No, we are publishers of the DiagFit software. We do not provide sensors and we do not connect to sensors. Our software is fed with data from sensors already installed by the customer.