2018
DOI: 10.1016/j.ymssp.2018.03.003
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Data-driven fatigue crack quantification and prognosis using nonlinear ultrasonic modulation

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Cited by 51 publications
(30 citation statements)
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“…At each crack length measurement, the relevant ultrasonic guided wave signal responses are recorded. Considering that the signal energy of the guided waves is mostly concentrated in the vicinity of the narrowband probing frequency domain and the dispersion characteristics can also be reduced accordingly, the narrowband sinusoidal tone burst modulated by a Hanning window is calculated by Equation (10) as an excitation frequency. The excitation signal is applied to A1-A3 of PZT-5As, respectively, and the peak-to-peak voltage of the output signal is 50 V, it is amplified by the gain parameter setting before it is sent to A1-A3.…”
Section: Methodsmentioning
confidence: 99%
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“…At each crack length measurement, the relevant ultrasonic guided wave signal responses are recorded. Considering that the signal energy of the guided waves is mostly concentrated in the vicinity of the narrowband probing frequency domain and the dispersion characteristics can also be reduced accordingly, the narrowband sinusoidal tone burst modulated by a Hanning window is calculated by Equation (10) as an excitation frequency. The excitation signal is applied to A1-A3 of PZT-5As, respectively, and the peak-to-peak voltage of the output signal is 50 V, it is amplified by the gain parameter setting before it is sent to A1-A3.…”
Section: Methodsmentioning
confidence: 99%
“…The majority of current guided wave-based non-destructive testing (NDT) and structural health monitoring (SHM) techniques [3,[8][9][10][11][12][13] have been proposed for monitoring crack propagation in different engineering structures, which exploit the variations from temporal features associated with baseline signals. More research studies of temporal signal features primarily focus on the magnitude-based and energy-based signals [14,15], wave reflections or transmissions [16,17], energy dissipation [18], and mode conversions [19].…”
Section: Introductionmentioning
confidence: 99%
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“…Among these investigations, vibration‐based methods are widely investigated and recognized as useful tools. PHM for cracked rotors can be categorized into four levels 3 as crack detection, 4–10 crack localization, 11–13 crack identification 14–17 and remaining useful life prediction 18,19 . These four stages can provide information required when making a reasonable maintenance strategy, which is of great significance to guarantee the safe operation and reduce maintenance cost of key rotating machines.…”
Section: Introductionmentioning
confidence: 99%
“…Crack monitoring and diagnosis in rotors based on vibration signals has been widely investigated and is an important field in the structural health monitoring (SHM) of rotating machines. According to the level of identification attempted, the relevant studies could be classified into four levels [ 1 ], which are crack detection [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ], crack localization [ 14 , 15 , 16 , 17 ], crack identification [ 18 , 19 , 20 , 21 ] and remaining useful life prediction [ 22 , 23 , 24 ]. Among the four levels, many studies have already been conducted on crack detection.…”
Section: Introductionmentioning
confidence: 99%