Design of optimized reference signal for Joint Time-Frequency Domain Reflectometry-based wiring diagnostics

Aircraft cable fault diagnosing is considered to be most important for engineering maintenance. Several methods for cables testing have been developed, such as TDR, FDR and TFDR. Time Domain Reflectometry (TDR) relays much on impedance changes on the fault position, which is hard to using in detecting high resistance defects, intermittent defects; Time Frequency Domain Reflectometry (TFDR) method is used to locate intermittent faults, continuous faults and cross-connection faults aircraft wire, however, the algorithm of TFDR is complex. To the "Hard Fault"(short circuit and open circuit), the Hilbert-Huang Transform method is used in determining the optimal bandwidth of the incident reference signal and analyzing the phase and amplitude difference of superimposed signal which from the incident signal and the reflected signal on defects. To the "Fray Fault", Time and Frequency Domain Reflectometry method can be used with the signal processing method with Hilbert-Huang Transform. The experimental results indicate that this method effectively detect all types of aircraft cable fault, particularly for short lengths of cable.

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Analysis and Diagnosis of Shielded Cable Faults Based on FEM and Time-Reversal Time-Frequency Domain Reflectometry

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2021.3071685 ◽

2021 ◽

pp. 1-1

Author(s):

Xu Hua ◽

Li Wang ◽

Yaojia Zhang

Keyword(s):

Frequency Domain ◽

Time Reversal ◽

Shielded Cable ◽

Time Frequency ◽

Reversal Time ◽

Frequency Domain Reflectometry

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Measurement of load impedance in power cables using wavelet-transform-based time–frequency domain reflectometry

Measurement Science and Technology ◽

10.1088/0957-0233/24/9/095008 ◽

2013 ◽

Vol 24 (9) ◽

pp. 095008 ◽

Cited By ~ 2

Author(s):

Sin Ho Lee ◽

Jin Bae Park ◽

Yoon Ho Choi

Keyword(s):

Wavelet Transform ◽

Frequency Domain ◽

Power Cables ◽

Load Impedance ◽

Time Frequency ◽

Frequency Domain Reflectometry

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Blind spot reduction in wavelet transform‐based time–frequency domain reflectometry using Gaussian chirp as mother wavelet

IET Signal Processing ◽

10.1049/iet-spr.2013.0077 ◽

2014 ◽

Vol 8 (7) ◽

pp. 703-709 ◽

Cited By ~ 5

Author(s):

Sin Ho Lee ◽

Jin Bae Park ◽

Yoon Ho Choi

Keyword(s):

Wavelet Transform ◽

Frequency Domain ◽

Blind Spot ◽

Mother Wavelet ◽

Time Frequency ◽

Frequency Domain Reflectometry

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A Computationally Efficient Multichannel Active Road Noise Control System

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4028183 ◽

2014 ◽

Vol 137 (1) ◽

Cited By ~ 8

Author(s):

Jie Duan ◽

Mingfeng Li ◽

Teik C. Lim ◽

Ming-Ran Lee ◽

Ming-Te Cheng ◽

...

Keyword(s):

Frequency Domain ◽

Time Domain ◽

Noise Control ◽

Acoustic Noise ◽

Reference Signal ◽

Active Noise Control ◽

Computational Cost ◽

Road Noise ◽

Time Frequency ◽

Fxlms Algorithm

A multichannel active noise control (ANC) system has been developed for a vehicle application, which employs loudspeakers to reduce the low-frequency road noise. Six accelerometers were attached to the vehicle structure to provide the reference signal for the feedforward control strategy, and two loudspeakers and two microphones were applied to attenuate acoustic noise near the headrest of the driver's seat. To avoid large computational burden caused by the conventional time-domain filtered-x least mean square (FXLMS) algorithm, a time-frequency domain FXLMS (TF-FXLMS) algorithm is proposed. The proposed algorithm calculates the gradient estimate and filtered reference signal in the frequency domain to reduce the computational requirement, while also updates the control signals in the time domain to avoid delay. A comprehensive computational complexity analysis is conducted to demonstrate that the proposed algorithm requires significantly lower computational cost as compared to the conventional FXLMS algorithm.

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