Estimation of absolute distance and high-frequency vibration from the modulated SM-OFI signal using compound mutated genetic algorithm

Bhardwaj, Vibhor Kumar; Maini, Surita

doi:10.1016/j.optlaseng.2020.106271

Cited by 5 publications

(1 citation statement)

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“…Typically, the interference between the coherent reflections and the resonant light is measured by the integrated photodiode placed inside the laser cavity; thus, the induction of interference does not require any external components. Till date various methodologies have been developed to extract the vibration information from the self-mixing interferometric (SMI) signal such as fringes detection [12] , Hilbert transforms [10] , [13] , pre-feedback mirror [14] , digital closed-loop [15] , wavelet transform [16] , phase unwrapping [17] , Genetic algorithm method [18] , envelope extraction using Fourier transform [19] , local maximum detection method [20] and quadrature demodulation [21] . These methodologies provide robust vibration measurement schemes with nanometric resolution up to 40 nm.…”

Section: Introductionmentioning

confidence: 99%

Measurement of micro-harmonic vibration from optical feedback interferometry using wavelet trend analysis

Bhardwaj

Maini

2020

Optics Communications

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Self-mixed optical feedback interferometry based laser sensors show promising results in the measurement of the vibration frequency. To date several measurement methods have been developed to extract the vibration information from the self-mixed (SM) signal; however, the complexity and accuracy of the methods still need improvement. The presented work tries to fulfill the gap by realizing a novel method using maximal overlap discrete wavelet transformation (MODWT) and multi-resolution analysis (MRA). The proposed method can reconstruct the micro-harmonic (< ) vibration up to 1 kHz even under weak feedback conditions. The mean squared error and the maximum relative error of the proposed method for this range remained below 1.89 & 8.79%, respectively. Although, above 1 kHz, the proposed method turns out to be futile to reconstruct the vibration signal but still capable to measure vibration frequency up to 10 kHz with an accuracy of 0.0001. The method also found suitable to measure non-sinusoidal vibration frequency with reasonable accuracy even for the moderate feedback conditions. The authors envision that the proposed method will provide a compact, non-contact, and low-cost alternative for the vibration frequency measurement hence useful in early fault detection schemes and lung abnormality diagnosis.

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