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341
A System Identification-Based Damage-Detection Method for Gravity Dams
Published 2021-01-01“…Then, a combined method based on Hilbert–Huang Transform (HHT) and Wavelet Transform (WT) is presented to obtain the dynamic properties of the structure. …”
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342
Signal Feature Extraction and Quantitative Evaluation of Metal Magnetic Memory Testing for Oil Well Casing Based on Data Preprocessing Technique
Published 2014-01-01“…In this paper, a method of median filter preprocessing based on data preprocessing technique is proposed to eliminate the outliers point of MMM. And, based on wavelet transform (WT), the adaptive wavelet denoising method and data smoothing arithmetic are applied in testing the system of MMM. …”
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343
An intelligent system for lung CT image denoising using a hybrid WT-NLM filter
Published 2025-04-01“…In this study, a Hybrid Wavelet Transform with Non-Local Mean (Hybrid WT-NLM) filter is proposed for reducing noise in lung CT images. …”
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344
Fault Diagnosis of Rotating Machinery Based on Convolutional Neural Network and Singular Value Decomposition
Published 2020-01-01“…A novel method of fault diagnosis based on convolutional neural network (CNN), discrete wavelet transform (DWT), and singular value decomposition (SVD) is proposed in this paper. …”
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345
An Improved Real Time Image Detection System for Elephant Intrusion along the Forest Border Areas
Published 2014-01-01“…The received image is decomposed using Haar wavelet to obtain multilevel wavelet coefficients, with which we perform image feature extraction and similarity match between the elephant query image and the database image using image vision algorithms. …”
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346
Using Color Difference Compensation Method to Balance and Repair the Image of Art Design
Published 2021-01-01“…A white balance color compensation algorithm for fuzzy chromatic aberration based on wavelet packet decomposition is proposed. The original image was denoised and filtered. …”
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347
An Integrative Approach to Understand the Climatic-Hydrological Process: A Case Study of Yarkand River, Northwest China
Published 2013-01-01“…Taking the Yarkand River as an example, this paper conducted an integrative approach combining the Durbin-Watson statistic test (DWST), multiple linear regression (MLR), wavelet analysis (WA), coefficient of determination (CD), and Akaike information criterion (AIC) to analyze the climatic-hydrological process of inland river, Northwest China from a multitime scale perspective. …”
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348
Condition monitoring of urban rail transit by local energy harvesting
Published 2018-11-01“…Field test results, power consumption, Littlewood–Paley wavelet transform method, and feasibility analysis are reported. …”
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349
Influences of Hydrodynamic Forces on the Identification of the Rotor-Stator-Rubbing Fault in a Rotating Machinery
Published 2020-01-01“…The results through a synchrosqueezing wavelet transform indicated that the exciting fluid force could significantly attenuate the instability and amplitude of rubbing rotor. …”
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350
Fault Diagnosis Approach for Rotating Machinery Based on Feature Importance Ranking and Selection
Published 2021-01-01“…As a common signal decomposition method, the effect of wavelet packet decomposition (WPD) largely depends on the applicability of the wavelet basis function (WBF). …”
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351
Rapid Discrimination of Cheese Products Based on Probabilistic Neural Network and Raman Spectroscopy
Published 2020-01-01“…This paper further studied and established the analytical approach based on Raman spectroscopy, including wavelet denoising, normalization, principal component analysis, and probabilistic neural network discrimination. …”
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352
Cavitation Detection in Centrifugal Pump Based on Interior Flow-Borne Noise Using WPD-PCA-RBF
Published 2019-01-01“…In this work, to improve the accuracy and efficiency of identification, an approach combining wavelet packet decomposition (WPD) with principal component analysis (PCA) and radial basic function (RBF) neural network is introduced to detect the cavitation status for centrifugal pumps. …”
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353
Dynamic Interdependence of Systematic Risks in Emerging Markets Economies: A Recursive-Based Frequency-Domain Approach
Published 2022-01-01“…Hence, the Kalman filter-based wavelet approach is adopted to execute the purpose of this study. …”
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354
Two-Phase Model of Multistep Forecasting of Traffic State Reliability
Published 2018-01-01“…Then a two-phase model is established based on wavelet neural network optimized by particle swarm optimization. …”
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355
Seismic Fragility Assessment of RC Plan-Asymmetric Wall-Frame Structures Based on the Enhanced Damage Model
Published 2021-01-01“…Results show that the wavelet transforms coefficient method can evaluate the worst-case input angles with low time-consuming and high efficiency. …”
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356
Classification of Green Bristle Grass, Yellow Foxtail and Chinese Pennisetum Seeds via HATR-FT-IR Combined with Chemometrics
Published 2013-01-01“…The result of Cluster analysis is not satisfactory. The discrete wavelet transformation (DWT) and a support vector machine (SVM) were used for further study. …”
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357
Dynamic Influence of Near-Source Seismic Ground Motion on Underground Mine Working Stability Using Time-Frequency Analysis
Published 2021-01-01“…Using numerical calculations, the continuous wavelet transform (CWT) of the recorded near-source seismic signals in three perpendicular directions was obtained to characterize its time-frequency properties. …”
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358
Identification of Vibration Signal for Residual Pressure Utilization Hydraulic Unit Using MRFO-BP Neural Network
Published 2022-01-01“…The feature vectors of vibration signals are extracted by wavelet denoising and EEMD decomposition. The weights and thresholds in BP neural network are optimized by the MRFO algorithm. …”
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359
Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
Published 2018-01-01“…For the fault diagnosis of intershaft bearings, the fusion information exergy distance method (FIEDM) is proposed by fusing four information exergies, such as singular spectrum exergy, power spectrum exergy, wavelet energy spectrum exergy, and wavelet space spectrum exergy, which are extracted from acoustic emission (AE) signals under multiple rotational speeds and multimeasuring points. …”
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360
Rapid Assessment of Exercise State through Athlete’s Urine Using Temperature-Dependent NIRS Technology
Published 2020-01-01“…The optimal classifying results were obtained by wavelet-PLS-DA classifier, whose average precision, sensitivity, and specificity are all above 0.95, and the overall accuracy of all samples is 0.97. …”
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