I need a repeatable, quantitative way to reveal both surface wear / abrasion and hidden problems—internal corrosion, broken wires, any subsurface defect—inside steel wire ropes. Visual checks alone are no longer enough; I want measurable outputs such as percentage loss of metallic area or defect depth that can drive maintenance decisions with confidence. Any proven non-destructive testing principle is welcome so long as it suits steel wire rope: magnetic flux leakage, eddy-current, ultrasonic guided waves, or an innovative hybrid approach. What matters is that your method distinguishes surface damage from interior deterioration and presents clear numerical results. Familiarity with sensor design, data acquisition and signal processing in MATLAB, Python or LabVIEW will be invaluable. Please show how you would move from concept to quantifiable results, including calibration and validation on sample rope sections. Discrete deliverables: • Technical report describing the chosen detection principle and its justification for steel wire rope • Bill of materials or specifications for any required hardware or instrumentation • Data-processing scripts or software module that converts raw signals into defect metrics • Validation plan with accuracy targets and test setup guidelines If you already have datasets or case studies, feel free to reference them so I can see the method’s potential performance.