Every year, the additional cost of unplanned maintenance operations is estimated at 630 billion euros in the industrial world. Predictive maintenance, because it helps optimize costs and avoid production stoppages, is therefore emerging as a major challenge for Industry 4.0.
A breakdown is often preceded by weak signals. Detecting them, in real time, is the key to avoiding equipment downtime. And it's even more important to detect them early and automatically. This is the challenge taken up by Wavely, a start-up specializing in sound analysis for industry, with the development of Wavely Predict, " the first intelligent sensor to use algorithms to detect any anomaly that might indicate a breakdown. Using machine learning, this sensor takes industrial maintenance from the era of forecasting to that of prediction." The result: reduced maintenance costs, elimination of breakdowns, optimized energy consumption and a reduction in unplanned downtime of over 20 %.
A connected sensor for monitoring by everyone, everywhere, all the time
To achieve complete machine monitoring, Wavely Predict combines the monitoring of four types of signals:
- acoustic noise, indicative of bearing failure at low speeds, lack of lubrication or electrical faults,
- vibration, indicating bearing and gear failure, shaft misalignment or unbalanced motors, pumps and fans,
- to monitor energy consumption levels,
- thermal, both on and off.
The sensors also provide information on machine productivity and frequency of use, so that plant activity can be optimally organized.
Easy to install, energy self-sufficient for up to four years, connected via a wireless network and requiring no maintenance, Wavely Predict sensors can be used by anyone, without any specific training or knowledge of vibration and acoustic analysis.
A mobile application enables technicians, operators or external service providers to consult machine status at any time, on site or remotely via the mobile app. Monitoring is therefore possible even on remote, dangerous or hard-to-reach machines. Finally, experts can also retrieve all the raw data to carry out their own signal analysis.
Developed by Wavely's R&D team, the sensors are fully assembled in the Lille area, from the design of the casing to the electronic board.
Wavely was born at the crossroads of the worlds of scientific research and engineering. Winner of the Ministry of Higher Education and Research's I-lab competition, the start-up has won several awards: EDF Pulse Hauts-de-France "low-carbon industry of the future" 2018, Coup de coeur start-up Enedis 2018, winner Vinci Energies challenge Vivatechnology 2019, winner Open Innovation Challenge ST Microelectronics 2019.
Visit the site:
wavely.fr