Simultaneous application of time series analysis and wavelet transform for determining surface roughness of the ground workpieces

Pour, Masoud

doi:10.1007/s00170-015-8008-z

Cited by 24 publications

(7 citation statements)

References 31 publications

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“…The economic values of substance production, gas regulation and the addition of new land in the coastal wetlands of Liaoning were calculated using the market price method [23]. The economic values of flood control and climate regulation were calculated using the replacement cost method [2], the economic value of water conservation was calculated by the shadow price method [37][38][39], the economic value of carbon sequestration was calculated using the carbon tax method [40,41], the economic value of wave reduction was calculated using the expert evaluation method [42,43], and finally the economic values of recreation and scientific research were calculated using the travel cost and the simulate market methods [44,45].…”

Section: The Methods For Empirical Measurementmentioning

confidence: 99%

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

et al. 2018

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Wetlands are one of the world's most productive ecosystems, and therefore it is crucial that management decisions regarding wetlands incorporate awareness of accurate assessments of the value of their respective ecosystem services. In this paper, we seek to improve the modelling precision in the scale transform process of ecosystem service evaluation. Firstly, we selected eight services as the criteria to calculate wetland ecosystem values: substance production, flood control, carbon sequestration, gas regulation, climate regulation, wave reduction, adding new lands, recreation and education. Then, six coastal wetlands of Liaoning province were chosen as the case study areas, and their ecosystem values were calculated by empirical method. Next, we simulated ecosystem values of the six cases by two spatial-scales transform methods named meta-analysis and wavelet transform. Finally, we compared the two groups of simulated values with the empirical measured values to examine their evaluation precisions. The results indicated that the total precision of the wavelet transform model (0.968) was higher than that of meta-analysis (0.712). In addition, the simulated values of single services such as substance production, flood control, carbon sequestration, gas regulation, and climate regulation were closer to the measured values using wavelet transform model. This research contributes to identifying an evaluation model with higher precision for evaluating wetland ecosystem services in the process of scale transform.

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Section: The Methods For Empirical Measurementmentioning

confidence: 99%

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

et al. 2018

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“…Zhao compared Haar, dbN, bior, symN, and other wavelet basis functions from the perspective of the overall error of reconstructed topography [ 26 ]. Pour applied the time series analysis and wavelet transform to determining surface roughness of the ground workpieces [ 27 ]. Goiec compared wavelet analysis and Gaussian filter in the constructing process of engineering surfaces, and confirmed the advantages of wavelet analysis [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Simulation Method of Micro-Topography for Grinding Surface

Suo

Bai

2021

Materials

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A novel simulation method of microtopography for grinding surface was proposed in this paper. Based on the theory of wavelet analysis, multiscale decomposition of the measured topography was conducted. The topography was divided into high frequency band (HFB), theoretical frequency band (TFB), and low frequency band (LFB) by wavelet energy method. The high-frequency and the low-frequency topography were extracted to obtain the digital combination model. Combined with the digital combination model and the theoretical topography obtained by geometric simulation method, the simulation topography of grinding surface can be generated. Moreover, the roughness parameters of the measured topography and the simulation topography under different machining parameters were compared. The maximum relative error of Sa, Sq, Ssk and Sku were 1.79%, 2.24%, 4.69% and 4.73%, respectively, which verifies the feasibility and accuracy of the presented method.

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“…Mezghani et al (2011) used the wavelet transform method to decompose the characteristics of the surface morphology, and proved that the scale dimension obtained by the wavelet transform has a high accuracy. Pour (2016) used wavelet analysis to separate the shape tolerances, waviness, and roughness from the surface morphology of the workpiece. Abdul-Rahman et al (2013) proposed a method of second-generation lifting wavelet filter for the morphology characteristics of the surfaces, and obtained high-precision surface roughness information.…”

Section: Introductionmentioning

confidence: 99%

Characteristics extraction and numerical analysis of the rough surface macro-morphology

Sun

Yuan

et al. 2019

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Purpose This paper aims to distinguish the relationship between the morphology characteristics of different scales and the contact performance of the mating surfaces. Also, an integrated method of the spectrum analysis and the wavelet transform is used to separate the morphology characteristics of the actual machined parts. Design/methodology/approach First, a three-dimensional (3D) surface profilometer is used to obtain the surface morphology data of the actual machined parts. Second, the morphology characteristics of different scales are realized by the wavelet analysis and the power spectral density. Third, the reverse modeling engineering is used to construct the 3D contact models for the macroscopic characteristics. Finally, the finite element method is used to analyze the contact stiffness and the contact area of the 3D contact model. Findings The contact area and the nominal contact pressure Pn have a nonlinear relationship in the whole compression process for the 3D contact model. The percentage of the total contact area of the macro-scale mating surface is about 70 per cent when the contact pressure Pn is in the range of 0-100 MPa, and the elastic contact area accounts for the vast majority. Meanwhile, when the contact pressure Pn is less than 10MPa, the influence factor (the relative error of contact stiffness) is larger than 50 per cent, so the surface macro-scale morphology has a weakening effect on the normal contact stiffness of the mating surfaces. Originality/value This paper provides an effective method for the multi-scale separation of the surface morphology and then lays a certain theoretical foundation for improving the surface quality of parts and the morphology design.

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Simultaneous application of time series analysis and wavelet transform for determining surface roughness of the ground workpieces

Cited by 24 publications

References 31 publications

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

Addressing the Modelling Precision in Evaluating the Ecosystem Services of Coastal Wetlands

A Novel Simulation Method of Micro-Topography for Grinding Surface

Characteristics extraction and numerical analysis of the rough surface macro-morphology

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