Multi-cycle velocity inversion monitoring tracks structural changes in coal and rock masses, resolving measurement precision limits against device complexity.
A probe body with elastic wave excitation and receiving devices detects coal rock interfaces using propagation characteristics.
TEJS system performs three-dimensional joint inversion of multi-component electromagnetic signals using a UNet neural network.
TEMP-OEL orthogonal cable configuration generates steep current pulses to measure the TM-mode electromagnetic field in shallow waters.
Inverse matrix calculations on RF power signals monitor transmission circuits, resolving maintenance complexity and safety risks in MRI systems.
A semi-airborne system combines magnetic and electric field sensors to calculate fitted apparent resistivity for underground detection.
A single target detection device operates in geomagnetic anomaly and electromagnetic induction time domain modes simultaneously.
Deep learning separates pure electromagnetic and induced polarization fields from polluted data for accurate geoelectric parameter inversion.