FAQs
Find the answer to your question here, or contact us at sales@norwegian-subsea.no.
Find the answer to your question here, or contact us at sales@norwegian-subsea.no.
Yes, Norwegian Subsea MRUs are ideal for wave analysis, providing accurate heave data to determine wave height and period. They integrate easily with wave buoys, lidar, and monitoring systems for real-time sea state analysis.
Yes, the MRU supports heave output (position, velocity, acceleration) at two remote points, plus a third at the vessel's centre of gravity. This allows one MRU to serve multiple applications, like heave-compensated winches.
The MRU Marine offers multiple connection options using a 16-wire Lemo cable. Choose between a pigtail cable, Junction Box V2 with external connectors, or IP-68-rated Junction Box V3 with internal terminals and analogue outputs.
Yes, the MRU outputs accelerations as well as velocities. You can configure the MRU to output acceleration and velocity data in the MRU, Vessel or NED frame. Both raw and lowpass filtered accelerations are available.
The MRU calibration certificate is valid for four years, but recalibration is rarely needed. Most models maintain specified accuracy for their lifetime, especially when selecting higher-precision series like the 6000 or 9000.
Yes, our MRUs measure surge and sway as oscillatory motions around a zero-mean position. For high-precision applications like 3D motion compensation, we recommend the 9000 series due to its superior roll/pitch accuracy.
All Norwegian Subsea Motion Reference Units (MRUs) include Ethernet communication and support the standard Ethernet protocols, as well as passive PoE.
An MRU measures motion in six degrees of freedom using gyroscopes and accelerometers. It provides accurate real-time motion data for marine monitoring, control, and instrument compensation, but cannot track long-period linear displacement.
Mount the MRU near your measurement point and avoid high vibration or elevated positions. Remote measurement is possible, but increases heave error with distance; choosing a higher accuracy model helps reduce this inaccuracy.