Testing Dielectric Strength TRIZ Cases
- Converter Insulation Detection via Switch-Controlled Impedance Reduction
By turning converter switches on during standby, this case lowers detection impedance and strengthens insulation signals for earlier fault warning.
- Circuit Breaker Arc Fault Detection Using ML Accumulation
Machine learning arc classification with an accumulator helps circuit breakers detect hazardous arcs while reducing unwanted residential tripping.
- Conductive Film Defect Detection for Insulating Layer Pinpointing
Segmented conductive film sensing detects tiny insulating-layer defects through capacitance changes, enabling precise fault location.
- Heat-Diffusion Sheet Composition for Burr-Resistant Insulation
Pre-heating and curing a boron nitride heat-diffusion sheet under pressure helps suppress insulation failure from burrs and foreign matter.
- Switchgear Arc Duration Monitoring for Accurate Wear Assessment
Voltage and current thresholds capture arc duration during switching, improving switchgear wear assessment and avoiding premature replacement.
- Gas-Insulated Switchgear Fault Localization Using Time-Reversed Waves
Time-reversed probe waves focus on partial discharge faults in gas-insulated switchgear, improving localization accuracy with one transceiver.
- DC Arc Fault Detection Using Neural Networks in PV Circuits
Neural models separate starting and burning arcs in DC photovoltaic circuits, improving fault detection accuracy and reducing misidentification.
- Rogowski Coil Phase Compensation for Arc Fault Detection
Analog integration and microprocessor phase correction make Rogowski coil current sensing accurate enough for fast arc fault detection.