ASTRIIS anticipates mechanical breackdowns.
By detecting vibrations from a running machine, Astriis can identify faults before a problem occurs. This predictive maintenance technology is the result of 30 years of public research between the CNRS and Grenoble INP. “We can identify the part, characterize it, and track its evolution,” explains Nicolas Saubin, founder and president of Astriis, along with three other partners, including Nadine Martin, the researcher and scientific director behind this innovation. To achieve this, the startup places vibration sensors on machines and collects the emitted vibration data in its proprietary software, Astrion. The company then remotely and automatically monitors each signal. If a mechanical fault is detected, an alarm is triggered, allowing for intervention before a breakdown, sometimes several months in advance.The company then remotely and automatically monitors each signal. << “We thus reduce human and environmental risks and increase equipment uptime,” says the CEO.
DETECTING FAILURES IN WIND TURBINES
The technology could be applied to more than 80% of rotating industrial machinery. Among the promising sectors, wind power represents a prime market. The innovation has already proven its effectiveness in onshore pilot projects, detecting faults up to eight months before a breakdown. Astriis plans to industrialize its solution for large-scale deployment and is also considering equipping floating wind turbines. But the tool needs to be adapted. << “While the core of the technology works, this sector requires very high-level software that meets certifications, particularly in terms of safety,” says Nicolas Saubin. The startup is investing €1 million in R&D over the next two years, provided by Ademe and Bpifrance, to meet the demands of this market. R. Charbonnier
