Machine-learned vibration baselines help detect abnormal conductor events despite noise, cutting false alarms and missed discharges.
Non-invasive electric, magnetic, vibration, and acoustic sensing estimates vacuum circuit breaker arc duration for wear and lifespan analysis.
Electrostatic scanning detects slits or holes in elevator traction belt insulation faster and more reliably than visual inspection.
A fluid-filled tubular probe carries arc-generated acoustic waves to a remote sensor, enabling detection and localization along long electrical cables.
Compressed sensing extracts signal sparsity to detect arcs, reducing calculation resources and avoiding false alarms from load perturbations.
Linearizing nonlinear positioning equations eliminates iterative convergence failures and reduces operation time for accurate partial discharge detection.