Energy spectrum analysis of blast waves based on an improved Hilbert–Huang transform

Li, L.; Wang, F.; Shang, Fei; Jia, Yafei; Zhao, Chunyu; Kong, Deren

doi:10.1007/s00193-016-0667-7

Cited by 24 publications

(9 citation statements)

References 15 publications

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“…At low energy levels (40 keV–80 keV), spectrum curve of the slope in different effusions have significant differences, and vicious decline is more apparent than the benign group. In the low energy levels, the spectral curve slope of change seems to be more intuitive, so the metabolites in benign and malignant pleural effusion and chemical composition are different, and in 90 keV–140 keV energy levels, different curve lines gradually flatten out, almost overlapping part of the curve in high energy level, and CT value also increased with the increase of energy to reduce gradually between the energy levels of two groups of effusion, making little sense to identify [ 26 , 27 ].…”

Section: Energy Spectrum Ct Evaluation Of Pleural Effusion Benign mentioning

confidence: 99%

CAMPO Precision128 Max ENERGY Spectrum CT Combined with Multiple Parameters to Evaluate the Benign and Malignant Pleural Effusion

Zhang

et al. 2021

Journal of Healthcare Engineering

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The emergence of energy spectrum CT provides greater diagnostic value for clinical practice. Its advantage is that it can provide more functional imaging parameters and accurate image information for clinical practice, which represents a mainstream direction of CT technology development at present. This paper mainly studies the clinical trial of CAMPO Precision128 Max ENERGY spectrum CT combined with multiple parameters to evaluate the benign and malignant pleural effusion. This paper analyzes the principle and key performance parameters of energy spectrum CT imaging, the etiology of pleural effusion, and its conventional diagnostic methods and uses energy spectrum CT to detect the benign and malignant pleural effusion. In this paper, two groups of patients with different types of pleural effusions were scanned by line spectrum chest CT scans, and energy spectrum analysis software was used to measure and calculate the CT values of conventional mixed energy values of ROI of patients with pleural effusions. For the CT value and energy curve slope measurement value of different single energy keV, independent sample t-test was used to analyze and compare the two sets of data, and finally it has been found out that the two sets of data were similar. According to the experimental results, the curves of energy spectrum of the two groups of data are similar in the descending curve of bow-back. The slope of energy spectrum curve in the leakage group was lower than that in the exudate group, showing statistical significance ( P < 0.05 ). The slope of energy spectrum curve K in the malignant pleural effusion group was significantly higher than that in the benign pleural effusion group, and the difference was statistically significant ( P < 0.05 ). The trend of energy spectrum curves of the two is roughly the same, while at the high energy level, part of the energy spectrum curves of the two are overlapped. The above conclusion indicates that energy spectrum CT plays a certain role in the differential diagnosis of pleural effusion. At the same time, energy spectrum CT also provides a noninvasive and rapid examination method for clinical differentiation of pleural effusion, which has certain clinical application value and prospect.

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Section: Energy Spectrum Ct Evaluation Of Pleural Effusion Benign mentioning

confidence: 99%

CAMPO Precision128 Max ENERGY Spectrum CT Combined with Multiple Parameters to Evaluate the Benign and Malignant Pleural Effusion

Zhang

et al. 2021

Journal of Healthcare Engineering

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“…Compared with the traditional wavelet transform, it can effectively filter out the effects of a high-frequency noise signal, where the identification accuracy is high, is not limited by wavelet scale, and is adaptable. In such a scenario, the adoption of a developed version of the HHT [25] for calculating the energy spectrum of a blast wave signal with nonlinear, non-stationary, and noisy properties could offer new insight about the signal processing.…”

Section: Discussionmentioning

confidence: 99%

Measuring the Reduction of the Confinement along the Evolution of a Burn Cut

Godio

Seccatore

2019

Applied Sciences

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We provide an analysis of a tunnel opening cut in a tunnel face. In particular, we focus on the effect of a "burn cut," which is a typical parallel hole cut. As the evolution of the opening consists of an increase in the volume of the cut prism and the consequent reduction of confinement of the holes along the initiation sequence, we analyze such an evolution using photographic documentation, as well as evaluating the reduction of confinement by measuring the energy transferred from the explosive charge to the rock mass. The energy was estimated by monitoring and analyzing the vibrations induced by the blasting at three different points. We adopted low-cost shock sensors for monitoring the effect of the detonation times at short distance from the blast (about 10 m). The results show an evident reduction of the shock transfer to the rock mass (i.e., a reduction of confinement) with the increase of the cavity opening. Nevertheless, when only the response of the piezometric sensors was considered, a disparity in behavior among the sensors was noted. On the other hand, when the sensor response was integrated over time, the behavior of all sensors normalized, showing the need to focus both on the oscillation and the duration to properly address the shock effect.

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“…In general, PPV (v), seismic wave energy (E), seismic wave frequency (f ), and seismic wave duration (t) are the primary parameters to describe the effect of blasting seismic wave [13,30]. In underwater blasting engineering, maximal charge per delay and distance from the measured point to the blast-face have remarkable influence on SWE, and geological conditions and rock properties also have major effect on it [26,31].…”

Section: Prediction Formula Of Swementioning

confidence: 99%

Study on the Attenuation Characteristics of Seismic Wave Energy Induced by Underwater Drilling and Blasting

Peng

et al. 2019

Shock and Vibration

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Seismic wave induced by underwater drilling and blasting may exert adverse effects to the surrounding structures. Peak particle velocity (PPV) has been widely used to reflect the intensity of seismic wave, while the method fails to take other influential parameters into consideration. Synthesizing PPV and duration, seismic wave energy (SWE) is employed to quantify the intensity, and the method of time-frequency analysis is adopted to study the characteristics of vibration frequency. Besides, this paper deduces the prediction formula for SWE via dimension analysis. Based on the practical engineering, the attenuation characteristics of SWE induced by underwater drilling and blasting is analysed by the wavelet transform and adaptive optimal kernel (AOK) time-frequency analysis method. Results show that the dominant frequencies at the directions of horizontal tangential, horizontal radial, and vertical are different and the energies in high-frequency bands are extremely low. Moreover, the lower the frequency is, the slower the attenuation of SWE is. Comparing with other prediction formulas of PPV, fitting the SWE with the help of the prediction formula in this study would achieve more accurate prediction results.

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Energy spectrum analysis of blast waves based on an improved Hilbert–Huang transform

Cited by 24 publications

References 15 publications

CAMPO Precision128 Max ENERGY Spectrum CT Combined with Multiple Parameters to Evaluate the Benign and Malignant Pleural Effusion

CAMPO Precision128 Max ENERGY Spectrum CT Combined with Multiple Parameters to Evaluate the Benign and Malignant Pleural Effusion

Measuring the Reduction of the Confinement along the Evolution of a Burn Cut

Study on the Attenuation Characteristics of Seismic Wave Energy Induced by Underwater Drilling and Blasting

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