This software provides a toolbox of MATLAB functions for detecting precursor wiring faults, such as chafing, in shielded impedance-controlled cable using measurements from off-the-shelf time domain reflectometry or vector network analyzer hardware. It advances the state-of-the-art in wiring fault detection, currently limited to the detection of hard opens or shorts, by combining high-fidelity analytical physics models for signal propagation on faulty cable with fast Bayesian inference algorithms for intrinsic cable and fault parameter retrieval. The overall approach is robust to noisy operating conditions, and does not require fixed baseline measurements. More information about this software can be found at: .

This work was done by Stefan Schuet, Kevin Wheeler, and Dogan Timucin of Ames Research Center. NASA invites companies to inquire about partnering opportunities. Contact the Ames Technology Partnerships Office at 1-855-627-2249 or This email address is being protected from spambots. You need JavaScript enabled to view it.. gov. Refer to ARC-17046-1.

NASA Tech Briefs Magazine

This article first appeared in the February, 2015 issue of NASA Tech Briefs Magazine.

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