A reconfigurable HFCT circuit adapts partial discharge signals for different IM units, improving switchgear PD monitoring and reducing interference.
Resistance change rates across EIS profiles identify negative and positive electrode arcs, enabling more accurate battery degradation diagnosis.
High-frequency partial discharge signals are normalized in an FPGA to keep detection consistent across host units and voltage divider setups.
Statistical noise reduction and phi-q-n machine learning help distinguish partial discharge pulses from stronger environmental noise.