Wavely Predict is a plug-and-play, predictive maintenance solution for Industry 4.0
The first sensor in the world with both acoustics and vibrations
+
Robust for industrial use
+
Works with the LoRAWAN network
+
Battery life up to four years
+
No special expertise required for use
OUR AREA OF EXPERTISE
Harnessing the power of four signals to detect machine anomalies
Acoustics and Ultrasound
Bearing failure detection at low speeds
Misalignment
Poor lubrication
Electronic defects that vibration alone cannot detect
Electromagnetism
Track energy consumption
Measure equipment rotation speed
Vibrations
Bearing and gear failure
Misalignment
Loosneness and imbalance in motors, pumps, and fans
Temperature
Insights into operating conditions
Machine status (on - off - idle)
Acoustics and Ultrasound
Electromagnetism
Vibrations
Temperature
EASY TO INSTALL, EASY TO USE
Machine anomaly detection, simplified.
Installation
in under 30 minutes
Initial learning phase
in under two weeks
Early warning alerts
sent through the app
GUARANTEED VALUE FOR YOUR FACTORY
Ensuring your plant's continuity and your team's tranquility
Access your machine's
data history
(NGA, NGV)
data history
(NGA, NGV)
Real-time
measurements nearby or
from a distance
measurements nearby or
from a distance
Automatic and early
anomaly detection
anomaly detection
ISO standard
threshold alerts
threshold alerts
Machine statistics
accessible in reports
(on/off/idle)
accessible in reports
(on/off/idle)
WE'RE ALL EARS!
Fine-tuned for rotating engines:
RETURN ON INVESTMENT
A factory generating 300 million euros in turnover per year will experience
1.5 million euros in losses on average
due to unforeseen maintenance expenses.
630 BILLION EUROS
The global cost of unplanned maintenance
expenses
MAKE THE MOVE TO PREDICTIVE MAINTENANCE
TODAY
Ensure your production and your income
by increasing machine uptime
Say goodbye to unplanned maintenance expenses
by scheduling repairs at the right time
Optimize working capital
by managing spare parts stock and expenses
TELL ME MORE
Last Name:
First Name:
Telephone number:
Email address:
Tell us everything:
By
submitting this form, I accept that the information shared could be used for sales purposes.