Discrete wavelet analysis classifies device power signals into normal and atypical states to predict failures and trigger timely alerts.
Non-contact electric and magnetic field sensing with DBSCAN detects unknown energy-system anomalies without invasive transformers or pre-defined fault categories.
Calculates waveform edge timing shifts from mutual inductive coupling and PDN noise, enabling faster SSN analysis for I/O buffer design.
Adaptive comparator threshold correction helps oscilloscopes counter probe distortion and noise for more accurate digital signal analysis.
Separating the measuring unit from the output module enables flexible multi-site electrical testing while preserving stable connection and data exchange.