Spectral/Fourier Analysis TRIZ Cases

See how a vacuum station reuses its ZCP circuit to detect AC overvoltage via pulse-width monito

See how a ZCP circuit detects AC overvoltage by measuring pulse width between zero crossings, d

See how asymmetric negative charge distribution toward the surface improves dust collection whi

EIS-based impedance monitoring detects secondary battery abnormalities during rest and constant-current operation where ECM estimation falls short.

Stray magnetic field spectra reveal inter-turn short circuit and dynamic eccentricity faults without healthy reference data or complex hardware.

By setting the positive electrode Rct/Rs ratio to 2 or more, EIS-based diagnosis helps curb low-temperature degradation in lithium secondary batteries.

Electrical current and voltage spectra reveal drivetrain vibration anomalies, cutting sensor deployment in hazardous areas and supporting preventive maintenance.

FFT analysis of existing power quality meter data detects sub-synchronous oscillations without extra sensors, enabling lower-cost mitigation.

Frequency analysis of field current or rectified voltage detects excitation rectifier faults without extra sensors, reducing overload risk.

Periodic discharge voltage and current sampling with Fourier transform builds accurate battery impedance spectra without bulky electrochemical workstations.

Dynamic variable capacitance adjusts CAN noise cut-off frequency as controller count or communication frequency changes, avoiding capacitor replacement.

Comparing peak pairs in motor current spectra at two load levels helps isolate rotor slot harmonics for speed estimation and fault diagnosis.

Full-phase Fourier demodulation isolates weak even harmonics in magnetic modulators, suppressing odd-harmonic leakage and zero-offset noise.

Periodic discharge sampling and Fourier analysis generate battery impedance spectra without bulky electrochemical workstations.

Differential current sensing and frequency-selective compensation suppress converter leakage currents and prevent false RCD shutdowns.

Complex impedance from voltage and current waveforms guides harmonic-aware charging to cut heat, energy loss, and battery aging.

Near-field probe measurements localize EMI-sensitive battery management components, improving abnormal-operation prediction during design.

A magnetic core and secondary winding detect broken or corroded redundant lines by comparing inductance signals to a fault threshold.

Iterative DFT updates compute radar spectra from incoming samples without storing the full sequence, cutting memory use while preserving accuracy.

Charging waveforms are tuned to battery impedance and harmonics to cut heat, improve energy transfer, and support faster charging.

EIS and DRT reveal which mixed-anode component dominates at each state of charge, helping diagnose durability limits in battery cells.

Nyquist inflection point analysis improves battery EIS diagnosis by avoiding probe-induced high-frequency errors and model fitting complexity.

FFT-based current normalization and load-rate correction enable accurate electric motor abnormality diagnosis without extra sensors.

Magnetic field spectrum sensing on a compressor power cable identifies standstill, idling, load run, and drive speed without electrical contact.

A two-stage excitation approach first locates resonance points, then targets them to measure servo frequency characteristics more accurately.

Full-phase Fourier demodulation suppresses odd harmonics and zero-offset noise to improve weak DC current sensing in magnetic modulators.

Motor current and force sensing predict EMB motor failure early, then redistribute wheel torque to maintain safe braking.

FFT-based motor current diagnosis isolates inverter noise peaks before fault analysis, improving detection of motor and transmission abnormalities.

Mathematical morphology extracts spectral energy proportions so pattern recognition can detect DC series arcs with less environmental interference and fewer false alarms.

Adaptive AC injection shifts measurement frequency by phase angle to separate earth-resistance signals from grid noise and load variation.

By aligning drive-frequency peaks across time intervals, this case improves motor abnormality detection when frequency fluctuation masks noise peaks.

Reactive power injection and frequency threshold counting improve islanding detection while reducing false trips during normal grid operation.

Alternating-impedance transmission line sections and diode limiters protect electronic structures from ESD while preserving DC to 54 GHz bandwidth.

Separate pulse and sustained-level circuits detect E1, E2, and E3 disturbances early, enabling alarms and power disconnection to protect electronics.

Interpolated DFT phasors improve frequency estimation accuracy during rapid power system changes, supporting reliable protection and fault handling.

EIS-based impedance measurement extracts ECM parameters during rest and constant current periods, improving secondary battery state estimation.

Harmonic tuning reshapes the charging waveform to match battery impedance, cutting heat while improving charging speed, efficiency, and cycle life.

DFT-based spectrum analysis tracks electric motor drive signals in real time, cutting memory load while speeding abnormality detection.

Periodic bipolar high-frequency pulses improve buried power line depth detection while preventing transformer ferroresonance and transient voltage instability.

Current pulse injection and magnetic sensing reveal overhead line disconnections even when fault current is too low for standard protection.

Graph-based STFT analysis tracks sparse, smooth fault frequencies in stator current to detect broken rotor bars under varying speed and load.

Impulse current and voltage response are used to model battery impedance, enabling faster, accurate secondary cell inspection on production lines.

Separate pulse and sustained-level circuits detect E1, E2, and E3 disturbances on power lines and trigger alarms or power disconnects.

Phase-shifted synthesis of switching noise spectra captures variable on-off periods in semiconductor devices without long Fourier transforms.

EIS-based real-intercept analysis detects secondary battery abnormalities more accurately during rest and constant-current operation.

Acoustic sensor data and Fourier analysis reveal odd-even harmonic ratios that flag transformer asymmetrical vibrations from DC grid components.

Impedance peak frequency modeling helps estimate all-solid-state battery capacity and detect physical deterioration such as interface cracks.

Sequence-component analysis and an unscented Kalman filter identify PMSM inter-turn short severity online and drive compensation current.

Frequency-domain amplitude analysis improves arc fault detection at energy storage connection points and triggers faster arc extinguishing protection.

Pulsed charged-particle sampling reconstructs periodic IC waveforms with better visual inspection, higher signal-to-noise, and less component degradation.

Hierarchical cloud-edge-terminal processing traces harmonic sources in distributed grids while reducing cloud workload and improving power quality.

Voltage and current pattern analysis detects battery module arcing early and triggers fast load disconnection to prevent damage.

A six-port coupler plus low-power sampling cuts high-power RF coupler count, lowering insertion loss while preserving feedback SNR.

FFT-based PSD analysis compares current across power branches to pinpoint the arc fault source and isolate only the affected load.

Frequency filtering and pre-emptive brake triggering cut false trips and stop a motor output shaft before excessive travel.

Low-quality feedback signals are used to estimate PA distortion accurately, reducing receiver complexity while preserving linearity control.

A system generates an electromagnetic interference fingerprint from CPU signals to identify hardware components without physical contact.