Fault Location By Conductor Types TRIZ Cases

Specific phase modulation generates a parsimonious chirp signal that reduces peak power and improves fault detection precision.

Voltage-based module selection eliminates separate maintenance lines, simplifying wiring configuration while enabling remote diagnostics.

A detection apparatus calculates impedance from HVDC current and voltage signals to identify internal faults within transmission systems.

Interpolating transfer functions at fine frequency intervals improves spatial resolution for cable defects without increasing converter sampling rates.

Parallel phasor measurement units solve real-time state estimators with augmented topologies to identify faulted lines while reducing latency.

Constant current testing detects geometry-based cable faults without complex signal analysis, improving precision while reducing device complexity.

A microcontroller controls a switch to isolate an electronic driver for independent diagnosis before final assembly testing.

Inverter monitors outlet voltage and breaker status via segmentation to distinguish faults from intentional openings.

A fault location method uses four equations derived from an equivalent circuit to determine distance on three-phase lines.

A three-terminal power line fault location system corrects distance measurements using distributed terminal devices and an electronic processing unit.

Comparing measured temporal reflectograms against simulated hypotheses resolves soft fault localization and severity in unknown topologies.

Combining location probabilities from diverse monitors reduces inspection area and improves fault detection precision.

Compensates for unequal phase reactances in untransposed power systems to improve fault distance estimation accuracy.

Dual induction coils cancel signal reflections to force unidirectional propagation, allowing autonomous measurement without taking the line out of service.

A UV sensor assembly with daylight filters captures images of corona discharges and projects them into a three-dimensional space using GPS data.

A cost function derived from time-reversed measurements identifies fault coordinates, reducing device complexity and calculation time.

Single-ended Intelligent Electronic Device estimates fault location using traveling wave peak arrival times, eliminating complex communication channels.

Distributed sensors detect electrical signals via capacitive coupling and current transformers to identify source locations using time-of-flight algorithms.

A controller triggers a pulsing contactor to inject current into high resistance grounded systems for rapid fault localization.

Offset pulse injection detects local energy losses along cable length, avoiding high-voltage stress that causes aging.

A detection method lowers zero-sequence voltage thresholds when activating a grounding device to identify faults in compensated star point networks.

Automated switching matrices analyze return signal power across wire bundles to locate intermittent faults without manual reconfiguration.

DIVOT system detects physical probing on memory buses by measuring impedance changes with embedded TDR circuits, avoiding performance overhead from encryption.

Segmented sensor clamps to grounded end fittings to measure leakage currents, preventing insulator flashover and wood pole fires.

A probabilistic neural network model processes deployment and sensed data to identify submarine cable fault types with high accuracy.

A subsea apparatus applies test voltages to measure insulation resistance and leakage currents along underwater electrical lines.

A fault location method uses adaptive modification methods to determine conductor errors.

A method calculates negative sequence resistance and reactance to locate faults in ring supply networks.

Sensors at branch points analyze impedance profiles to resolve fault location ambiguity.

Integrated sensor system merges visual and laser scanning data to eliminate multiple flights.

A graph neural network processes node and branch attributes to locate faults in distribution feeders despite topology changes.

A fault location method uses fictitious voltage profiles to pinpoint line defects.

FFT analysis of surge arrester currents detects overvoltages, reducing installation costs compared to traditional potential transformer systems.

Reconstructing reflection signals and correlating them with transmit signals isolates fault echoes from noise interference in complex loading conditions.

Voltage difference analysis localizes power theft by eliminating reliance on inaccurate network impedance parameters.

AI-driven anomaly detection system localizes electrical network faults using sparse sensor data.

A detection method calculates resistive components of phase currents and zero sequence current direction for accurate fault location.

Monitoring electric field intensity changes across three-phase feeders enables rapid single-phase ground fault detection in distribution networks.

Determines neutral admittance from zero sequence currents and voltages to detect phase-to-earth faults.

A protective device measures voltage and current at line ends to determine reference currents for fault detection.