Each year, the additional cost linked to unplanned maintenance operations is estimated at 630 billion euros in the world of industry. Predictive maintenance, because it makes it possible to optimize costs and avoid production stoppages, therefore appears to be a major issue in Industry 4.0.
A failure is often preceded by weak signals. Their detection, in real time, is a real challenge to avoid equipment shutdown. And even more so their early and automated detection. This is the challenge that Wavely, a start-up specializing in sound analysis for industry, has just taken up by developing Wavely Predict, " the first intelligent sensor that relies on algorithms to detect any anomaly that heralds failure. This sensor, using machine learning, is moving industrial maintenance from the era of forecasting to that of prediction. "At stake: reducing maintenance costs, elimination of failures, optimization of energy consumption and a reduction of over 20% of the time unplanned shutdown.
A connected sensor for monitoring by anyone, anywhere, anytime
To achieve complete machine monitoring, Wavely Predict combines the monitoring of four types of signals:
- acoustic, indicative of low speed bearing failure, lack of lubrication or electrical fault,
- vibration, heralding a failure of bearings and gears, a misalignment of the axis or an imbalance of motors, pumps and fans,
- electromagnetic, in particular to monitor the level of energy consumption,
- thermal, in working order as when stationary.
The sensors also provide information on the productivity of the machines and their frequency of use in order to better organize the activity of the plant.
Easy to install, self-sufficient in energy for up to four years, connected by a wireless network and requiring no maintenance, Wavely Predict sensors can be used by anyone, without specific training or knowledge in vibration and acoustic analysis.
A mobile application allows technicians, operators or external service providers to consult the status of machines at any time, on site or remotely via the mobile application. Monitoring is therefore possible even on remote, dangerous or difficult to access machines. Finally, the experts can also retrieve all the raw data to conduct their own analysis on the signals.
Developed by the Wavely R&D team, the sensors are fully assembled in metropolitan Lille, from the design of the housing to the electronic card.
Wavely was born from the intersection of the worlds of scientific research and engineering. Winner of the I-lab competition of the French Ministry of Higher Education and Research, the start-up has been awarded several prizes: EDF Pulse Hauts-de-France “decarbonized industry of the future” 2018, Start-up favorite Enedis 2018, winner of Vinci Energies challenge Vivatechnology 2019, winner of Open Innovation Challenge ST Microelectronics 2019.
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