Fractional Autoregressive Integrated Moving Average and Finite-Element Modal: The Forecast of Tire Vibration Trend

Zhang, Yujin; Song, Wanqing; Karimi, Mohammad; Chi, Chi‐Hung; Kudreyko, Aleksey

doi:10.1109/access.2018.2855147

Cited by 11 publications

(6 citation statements)

References 18 publications

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“…Modal Assurance Criterion. e modal analysis theory is adapted to analyze and evaluate intrinsic dynamic properties of the mechanical structure, and it also serves as the premise of vibration analysis [18].…”

Section: Research Methodology Of the Proposed Strategymentioning

confidence: 99%

Fault Detection for the Scraper Chain Based on Vibration Analysis Using the Adaptive Optimal Kernel Time‐Frequency Representation

Zhang

Zhu

et al. 2019

Shock and Vibration

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A scraper conveyor is a key component of large-scale mechanized coal mining equipment, and its failure patterns are mainly caused by chain jam and chain fracture. Due to the difficulties with direct measurement for multiple performance parameters of the scraper chain, this paper deals with a novel strategy for fault detection of the scraper chain based on vibration analysis of the chute. First, a chute vibration model (CVM) is applied for modal analysis, and the hammer impact test (HIT) is conducted to validate the accuracy of the CVM; second, the measuring points for vibration analysis of the chute are determined based on the modal assurance criterion (MAC); and third, to simulate the actual vibration properties of the chute, a dynamic transmission system model (DTSM) is constructed based on finite element modeling. The fixed-point experimental testing (FPET) is then conducted to indicate the correctness of simulation results. Subsequently, the DTSM-based vibration responses of the chute under different operating conditions are obtained. In this paper, the proposed strategy is employed to determine the occurrence of chain faults by amplitude comparisons, while failure patterns are distinguished by the adaptive optimal kernel time-frequency representation (AOKR).

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Section: Research Methodology Of the Proposed Strategymentioning

confidence: 99%

Fault Detection for the Scraper Chain Based on Vibration Analysis Using the Adaptive Optimal Kernel Time‐Frequency Representation

Zhang

Zhu

et al. 2019

Shock and Vibration

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“…We have used a differencing function to remove the trends and stabilize the mean of equation 8. Differencing is a popular method to make the time series stationary [19], [65].…”

Section: A Autoregressive Integrated Modelmentioning

confidence: 99%

Parametric Models for Understanding Atomic Trajectories in Different Domains of Lung Cancer Causing Protein

et al. 2019

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Non-small cell lung cancer (NSCLC) is a major cause of death worldwide. About 80% to 85% of lung cancer cases are NSCLC. It is well known that mutation of the epidermal growth factor (EGFR) may lead to the NSCLC. The first generation drugs are effective initially, but almost all patients develop drug resistance after about a year due to a secondary mutation. The computational methods are an efficient tool for investigating drug resistance, design, and discovery. Moreover, molecular dynamics (MD) simulation enables us to study and analyze the behavior of proteins and molecules at the atomic level. MD simulations offer extraordinary insight about biomolecules and are a valuable tool for computer aided drug discovery. Earlier studies on EGFR only focused on the kinase domain. Because EGFR is a multi-domain protein, mutations in the kinase domain may affect the function in other domains. Therefore, it is important to investigate the complete structure of the EGFR and its mutants. In this paper, we first generate the complete structure of the EGFR and perform MD simulation for the wildtype EGFR, EGFR with L858R mutation and EGFR with L858R and T790M mutation. We divide the complete structure of the EGFR and its mutants into 8 domains according to the reference crystal structure. We then consider atom trajectories as time series signals and estimate the power spectral densities using the auto-regressive integrated (ARI) model, which shows interesting insight. Dynamic time warping is used to analyze the similarity between each domain of the structures. Interesting patterns are observed which may be useful for investigating drug resistance and design. Furthermore, Pearson correlation coefficient, peaks, and widths of the power spectral density are calculated for each domain. The simulation results provide useful insight about conformation dynamics of the EGFR, such as atom motion and protein stability. The domains are less correlated in L858R type and even weaker when the second mutation occurs. The warping patterns are changed due to mutation and the movement of atoms is distorted. Hence, it is difficult for a drug to bind to the protein. These findings will be useful in understanding the characteristics of the EGFR and for computer aided drug design process for the NSCLC patients. INDEX TERMS Autoregressive integrated model, drug resistance, dynamic time warping, epidermal growth factor receptor, molecular dynamics, non-small cell lung cancer.

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“…Additionally, since the NF of a tooth can be affected by several factors, this kind of method is infeasible to analyze the effect of these individual factors on the estimated NF [12]. Computational method normally uses finite element method (FEM) [13]- [15] and has advantages to simulate free vibration of structure, complex geometric shapes, material properties, and different periodontal conditions, which are difficult to replicate in in vivo or in vitro experiments. The FEM has been extensively applied to analyze the NFs of teeth [1], [2], [4], [5], different periodontal conditions' effect on NFs [1], [3], [16], and NF values of implants for stability evaluation [12], [17]- [22].…”

Section: Compared To the Traditional Radiographic Evaluation Formentioning

confidence: 99%

Effect of Boundary Condition and Model Structure Integrity of Tooth-PDL-Bone Complex on Tooth Mode Computation

Gan¹,

Xiong²,

Zhao³

et al. 2019

IEEE Access

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Tooth mode has been proven to be adaptable for the diagnosis of periodontal disease. However, in previous studies of tooth mode computation, model settings, including boundary condition and model structure integrity, were quite different. Whether these settings themselves would significantly affect computation results were unknown, and consistent settings that provide support for the generalization of results are desired. This paper aimed to study this by investigating the effect of three commonly used boundary conditions and model structure integrity on tooth mode computation. Three finite-element models of the mandibular tooth-periodontal ligament-bone complex (TPBC) with different levels of structure integrity were constructed. For each model, tooth modes under three boundary conditions were computed, respectively, using modal analysis. Six order modes of each tooth were extracted. The same order mode shapes of different teeth were the same. Compared to the difference of natural frequency (NF) between healthy and periodontal disease, the difference of computed NF of a tooth caused by different boundary condition settings was slight, and the difference of computed NF of a tooth caused by model integrity was slight. The results suggest that the effect of the three boundary conditions and structure integrity of the TPBC model on mode computation of a given tooth is neglectable. Therefore, to compute the mode of a given tooth, these settings can be selected regarding other issues instead of differences caused by these settings themselves. INDEX TERMS Finite element analysis, modal analysis, tooth mode, boundary condition, model structure integrity.

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Fractional Autoregressive Integrated Moving Average and Finite-Element Modal: The Forecast of Tire Vibration Trend

Cited by 11 publications

References 18 publications

Fault Detection for the Scraper Chain Based on Vibration Analysis Using the Adaptive Optimal Kernel Time‐Frequency Representation

Fault Detection for the Scraper Chain Based on Vibration Analysis Using the Adaptive Optimal Kernel Time‐Frequency Representation

Parametric Models for Understanding Atomic Trajectories in Different Domains of Lung Cancer Causing Protein

Effect of Boundary Condition and Model Structure Integrity of Tooth-PDL-Bone Complex on Tooth Mode Computation

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