
K-Load: Cable Inspection & Aging Diagnosis
Your cables are aging every day. Your inspection gives you a waveform. It doesn't tell you if the cable will survive next year.
FDR, TDR, and ultrasonic inspections generate waveforms. Most organizations feed those waveforms into a spreadsheet, flag anomalies manually, and call it a condition assessment. That is not a condition assessment. That is a data dump.
K-NDE converts your inspection signals into five actionable outputs: Is the insulation degraded? Where is the defect? How severe is the damage? How much useful life remains? Replace, monitor, or keep using?
Used by nuclear plants, aerospace programs, and defense facilities managing cables that cannot be replaced without a shutdown, a mission abort, or a $10M system teardown.
Trusted by Industry, Government & Research Leaders




From Raw Inspection Signal to Remaining Useful Life -- Automatically
Traditional NDE gives you a waveform. K-NDE gives you a diagnosis. The difference is a physics-based interpretation engine that connects signal features to actual material degradation state, defect geometry, and remaining insulation integrity.
Traditional NDE gives you a waveform. K-NDE gives you a diagnosis. The difference is a physics-based interpretation engine that connects signal features to actual material degradation state, defect geometry, and remaining insulation integrity.
Traditional NDE Output
FDR waveform with reflection anomaly
TDR trace showing impedance shift
Ultrasonic scan showing void/delamination
No interpretation of combined signals
K-NDE Output
Defect location: 47.3 m from terminal. Severity: moderate. Estimated affected length: 0.8 m.
Insulation thickness loss: 23%. Dielectric constant shift consistent with thermal-oxidative degradation.
Void geometry: 12 mm x 4 mm. Depth: 1.2 mm from surface. Crack initiation probability: 67% within 3 years.
Combined FDR + TDR + thermal history -> Remaining Useful Life: 8.4 years (90% confidence)
Decision You Can Make
Flag segment for targeted inspection. No full system shutdown required.
Update maintenance schedule. Retest in 18 months. Replace at 40% threshold.
Initiate risk-based replacement planning. Order spare cable assemblies now.
Justify continued operation to regulator with quantified confidence interval.
K-NDE Interprets Every Inspection Method
K-Load combines multiple damage modes into one physics-based model, capturing how they interact to consume component life.
FDR
Frequency Domain Reflectometry
What it measures: Sends frequency-swept signals along the cable. Reflections reveal impedance changes caused by insulation degradation, moisture intrusion, and physical deformation.
What K-NDE adds: Detects distributed degradation, soft faults, and moisture zones over long cable runs. Maps degradation profile by location.
Output: Degradation severity map (0-100%), moisture ingress probability by segment, distributed aging state estimate.
Combined Signal
Multi-Method Fusion
What it fuses: K-NDE fuses FDR, TDR, and ultrasonic signals with cable thermal history, age, and service conditions into a single physics-based degradation model.
What K-NDE adds: Eliminates conflicting single-method readings. Produces one coherent assessment from all available inspection data.
Output: Single Remaining Useful Life (RUL) prediction with confidence interval. Replace / Monitor / Continue recommendation.
TDR
Time Domain Reflectometry
What it measures: Sends a pulse down the cable and measures reflection time and amplitude. Reveals impedance discontinuities caused by physical damage, connector faults, and insulation breakdown.
What K-NDE adds: Pinpoints hard faults, open circuits, short circuits, and sharp impedance changes. Gives exact defect location in meters.
Output: Defect location (meters from terminal), impedance profile, fault severity classification (minor/moderate/critical).
Ultrasonic
Ultrasonic NDE
What it measures: High-frequency sound waves reveal internal voids, delaminations, and cracks in cable insulation and jacket material not visible to FDR/TDR.
What K-NDE adds: Detects subsurface mechanical damage, air voids, and delamination. Complements electrical methods for full insulation assessment.
Output: Void/crack geometry (size, depth, location), delamination extent, crack propagation risk score.
Five Questions. One Platform. Every Inspection Signal.
Is the cable insulation degraded?
K-NDE analyzes FDR frequency response and TDR impedance profile against baseline models for cable type, age, and thermal history. Outputs a degradation state score (0-100%) with flag thresholds based on IEEE 383, NUREG/CR-7000, or user-defined limits.
Where is the defect or weak zone?
K-NDE maps reflection features to physical cable locations in meters. Every anomaly is localized to a segment. Reports include cable schematic with flagged zones -- ready to hand to a maintenance crew.
How severe is the damage?
Each flagged zone receives a severity classification: Minor (monitor), Moderate (schedule replacement), Critical (immediate action). Severity is calibrated to material degradation physics, not just signal amplitude.
How much useful life remains?
K-NDE fuses all inspection signals with operating history (temperature, humidity, radiation dose if available) to produce a Remaining Useful Life (RUL) prediction with 90% confidence interval.
Replace, monitor, or keep using?
K-NDE outputs a single actionable recommendation per cable: Continue Service / Increase Monitoring Frequency / Schedule Replacement / Immediate Action Required. With documented justification for regulatory or audit purposes.
Multi-Damage-Mode Simulation, Proven Across Material Classes
Accuracy
95%
CNPC HPHT validated
Tests
80,000+
Multi-mode lab data
Damage modes
6
In one unified model
Material classes
3
NR, NBR, Silicone/SBR
K-NDE Across Industries

Physics-Based Cable Aging -- Peer-Reviewed Foundation
INTEGRATIONS
K-NDE builds on Karax's validated physics models for polymer degradation, extended to cable insulation materials. The same physics that predicts HPHT seal life (validated at CNPC) and nuclear radiation aging (Sandia) underlies the cable RUL engine.
Related validated publications (ElastoSure platform foundation):
Ghaderi, Nouri, Dargazany et al. (2026). Macromolecular Theory and Simulations, 35(1), e00044. HPHT polymer aging -- 95% accuracy.
Makki, Dargazany et al. (2023). Rubber Chemistry and Technology. DLO thermal oxidation model.
Ghaderi, Dargazany et al. (2022). Journal of the Mechanical Behavior of Biomedical Materials. Multi-stressor coupled degradation model.

Compatible

Developer access
Compatible
Built-in


