Magnetic signature analysis
Signal processing converts raw flux leakage data into a spatial map that identifies subsurface conductive trace anomalies within multilayer boards. Fourier domain spatial magnetic inversion performs this transformation by mapping measured surface magnetic intensity vectors back to their point source origin inside the dielectric. Calculations rely on the principle that the magnetic field strength decays as a function of the distance from the source current, allowing a mathematical reversal of the field geometry to locate internal breaks.
This technique identifies hidden copper paths that are prone to intermittent continuity failures under thermal stress.
Inversion accuracy
High fidelity results depend on the acquisition of the signal phase information during the scan of the board surface. Fourier transforms allow the operator to isolate specific frequency components that correspond to internal trace depths and line widths. Noise filtering occurs simultaneously to distinguish genuine structural cracks from background electromagnetic interference generated by test equipment.
Complex algorithms execute the reconstruction to output a three-dimensional model of the board interior. Precision decreases if the proximity of external metallic hardware distorts the local field or if the scan resolution fails to match the scale of the expected feature.
Defect verification
Inspection protocols use these reconstructed images to confirm the presence of voids or thin sections that exceed the defined tolerance for conductive material thickness. Engineers define the acceptable limits based on the current carrying capacity required for the specific board application. If the inversion identifies a region where the magnetic profile deviates from the baseline gold standard for a known good unit, the board is routed for physical cross-section analysis or rejection.
This diagnostic approach allows for the detection of subsurface defects without damaging the structural integrity of the assembly.