Nonlinear Engineering - Modeling and Application最新文献_第9页

Electric vehicle wireless charging system for the foreign object detection with the inducted coil with magnetic field variation 电动汽车无线充电系统采用感应线圈随磁场变化进行异物检测

Nonlinear Engineering - Modeling and Application Pub Date : 2023-01-01 DOI: 10.1515/nleng-2022-0327

Abdulaziz Alshammari, Rakan C. Chabaan

引用次数: 0

A new computational investigation to the new exact solutions of (3 + 1)-dimensional WKdV equations via two novel procedures arising in shallow water magnetohydrodynamics (3 + 1)维WKdV方程新精确解在浅水磁流体力学中的新计算研究

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0041

Maojie Zhou, A. Akbulut, M. Kaplan, Mohammed K. A. Kaabar, Xiaolu Yue

引用次数: 4

Vibration signal collection and analysis of mechanical equipment failure based on computer simulation detection 基于计算机仿真检测的机械设备故障振动信号采集与分析

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0040

Chiyue Qin, Rana Gill, Ravi Tomar, K. Ghafoor

{"title":"Vibration signal collection and analysis of mechanical equipment failure based on computer simulation detection","authors":"Chiyue Qin, Rana Gill, Ravi Tomar, K. Ghafoor","doi":"10.1515/nleng-2022-0040","DOIUrl":"https://doi.org/10.1515/nleng-2022-0040","url":null,"abstract":"Abstract This article addresses the challenge of large error rate and low accuracy of the vibration signal collection of mechanical equipment failure, and proposes a mechanical equipment failure vibration signal collection and analysis based on computer simulation detection. Then, it uses the Kalman filter algorithm for data filtering, according to the mathematical model established by the system, thus choosing a suitable noise covariance calculation method. In the integration process after filtering, using a piecewise integration method between acceleration peaks, the integration calculation is optimized to obtain the vibration displacement. The simulation results of this article show the vibration data collected by the main controller, after Kalman filtering and piecewise trapezoidal integration method optimization. The error of the proposed method is 0.5% when the frequency is 80 Hz, relative to the displacement measurement method of the three-axis acceleration sensor at 8.3%, and the error of data calculation results is greatly reduced. The greater the amplitude of vibration, the smaller the error. This method significantly improves the accuracy of vibration signal collection of mechanical equipment.","PeriodicalId":37863,"journal":{"name":"Nonlinear Engineering - Modeling and Application","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72764221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On-line monitoring of steel ball stamping by mechatronics cold heading equipment based on PVDF polymer sensing material 基于PVDF聚合物传感材料的机电冷镦设备钢球冲压在线监测

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0014

Xing Wang, Mingming Wu, Jianglong Wang

引用次数: 1

Improving nonlinear behavior and tensile and compressive strengths of sustainable lightweight concrete using waste glass powder, nanosilica, and recycled polypropylene fiber 利用废玻璃粉、纳米二氧化硅和再生聚丙烯纤维改善可持续轻量化混凝土的非线性性能和抗拉抗压强度

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0008

Erfan Najaf, Maedeh Orouji, S. M. Zahrai

{"title":"Improving nonlinear behavior and tensile and compressive strengths of sustainable lightweight concrete using waste glass powder, nanosilica, and recycled polypropylene fiber","authors":"Erfan Najaf, Maedeh Orouji, S. M. Zahrai","doi":"10.1515/nleng-2022-0008","DOIUrl":"https://doi.org/10.1515/nleng-2022-0008","url":null,"abstract":"Abstract Concrete is one of the most extensively utilized building materials that can be produced, and has the potential to release a significant quantity of CO2 into the environment. In this research, through studying lightweight (LW) concrete, attempts are made to produce environmentally friendly LW concrete with high strength using nanosilica rather than part of the cement and waste glass powder instead of aggregates. Recycled polypropylene fibers are used to increase the concrete’s compressive strength and nonlinear behavior. The use of glass powder was 20, 25, and 30% of the weight of aggregates, the consumption of nanosilica was 1, 2, and 3% of the weight of cement, and the consumption of recycled fibers (FORTA Ferro-Green) was 0.5, 1, and 1.5% of the weight of cement. Leca is also utilized as a LW aggregate. According to 7- and 28-day experimentation results and field emission scanning electron microscope analysis, the best sample had 1.5% fiber, 3% nanosilica, and 25% waste glass powder, and had a compressive and tensile strengths of roughly 1.7 and 1.6 times, respectively, those of the control specimen after 28 days. Also, using 3% nanosilica instead of cement can reduce greenhouse gas emissions by about 3%.","PeriodicalId":37863,"journal":{"name":"Nonlinear Engineering - Modeling and Application","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85084843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 26

Shear bond and compressive strength of clay stabilised with lime/cement jet grouting and deep mixing: A case of Norvik, Nynäshamn 石灰/水泥喷射注浆和深层搅拌稳定粘土的剪切粘结和抗压强度:Norvik的案例，Nynäshamn

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0269

P. Lindh, Polina Lemenkova

{"title":"Shear bond and compressive strength of clay stabilised with lime/cement jet grouting and deep mixing: A case of Norvik, Nynäshamn","authors":"P. Lindh, Polina Lemenkova","doi":"10.1515/nleng-2022-0269","DOIUrl":"https://doi.org/10.1515/nleng-2022-0269","url":null,"abstract":"Abstract The strength of soil can significantly increase by stabilisation with binders. Adding binders in correct proportions to improve soil parameters is of paramount importance for earthworks. In this article, we presented a framework to explore strength characteristics of soil stabilised by several binders and evaluated using applied geophysical methods by estimated P-wave velocities. The core of our work is a systematic assessment of the effects on clay stabilisation from various binders on shear and compressive strength. The binders were combined from four stabilising agents: (i) CEM II/A, a Portland limestone cement; (ii) burnt lime; (iii) lime kiln dust (LKD) limited up to 50%; and (iv) cement kiln dust (CKD). Shear strength has shown a nonlinear dependence as an exponential curve with P-waves. Natural frequency analysis was modelled to simulate resonant frequencies as eigen values. Variations in strength proved that CEM II/A-M (Recipe A, 100% CEM II) has the best performance for weak soil stabilisation followed by the combinations: Recipe B (70% CEM II/A-M, 30% LKD), Recipe C with added 80% CEM II/A-M and 20% CKD, and Recipe D (70% CEM II/A-M 30% CKD). Recipe B has shown high values with maximum uniaxial compressive strength (UCS) at 13.8 MPa. The Recipe C was less effective with the highest value of UCS as 8.8 MPa. The least strength was shown in Recipe D, where UCS has maximal values of 3.7 MPa. The specimens stabilised by Recipe B demonstrated the highest P-wave velocity at 2,350 m/s, while Recipe C and Recipe D showed the highest P-wave velocity at 1,900 and 1,550 m/s. All specimens shown a gain of UCS with sharply increased P-wave speed during the 3 days of curing. The study contributes to the development of methods of soil testing in civil engineering.","PeriodicalId":37863,"journal":{"name":"Nonlinear Engineering - Modeling and Application","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84028362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Research on fault detection and identification methods of nonlinear dynamic process based on ICA 基于ICA的非线性动态过程故障检测与识别方法研究

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0003

Chao Xie, Rui Zhang, J. Bhola

{"title":"Research on fault detection and identification methods of nonlinear dynamic process based on ICA","authors":"Chao Xie, Rui Zhang, J. Bhola","doi":"10.1515/nleng-2022-0003","DOIUrl":"https://doi.org/10.1515/nleng-2022-0003","url":null,"abstract":"Abstract In the present study, nonlinear dynamic process data are mapped into the kernel state space by kernel gauge variable analysis method to obtain decorrelated state data. The time-lapse covariance matrix of the state data is weighted and summed to obtain the time-lapse structure matrix of the state data, and then supervised kernel independent component analysis (SKICA) is established, the independent component feature data is extracted from the status data and the monitoring statistics are constructed to detect the process faults. The data show that kernel independent component analysis (ICA) method (KICA) method can detect slow fault faster than the ICA method, except that the statistical detection ability of F3 and FS is reduced, and the KICA method can significantly improve the detection performance of other faults and statistics. By analyzing the detection results of SKICA method, it is obvious that in the detection process of all five kinds of slow faults, the fault detection capability of SKICA is better than that of ICA and KICA. The results of continuous stirred reactor simulation system show that, compared with the basic linear process, the slow fault detection has a good monitoring performance, it can detect the small deviation in the process sensitively and give alarm information to the slow fault in time, to improve the fault detection rate.","PeriodicalId":37863,"journal":{"name":"Nonlinear Engineering - Modeling and Application","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83156257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design and implementation of Internet-of-Things software monitoring and early warning system based on nonlinear technology 基于非线性技术的物联网软件监测预警系统的设计与实现

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0036

Haifeng Ma, A. Pljonkin, Pradeep Kumar Singh

{"title":"Design and implementation of Internet-of-Things software monitoring and early warning system based on nonlinear technology","authors":"Haifeng Ma, A. Pljonkin, Pradeep Kumar Singh","doi":"10.1515/nleng-2022-0036","DOIUrl":"https://doi.org/10.1515/nleng-2022-0036","url":null,"abstract":"Abstract In order to realize and design a software monitoring and early warning system for the Internet of Things (IoT), this paper establishes a “trinity” control platform integrating PLC, WINCC, and MATLAB based on nonlinear technology and realizes the proportion integration differentiation (PID) control based on the RBF neural network tuning on this platform. Based on the framework of the trinity control platform, the PID control system set by the radial basis function (RBF) neural network and the STEP7 virtual object programming of the control platform are designed and realized. The experimental data update cycle is 0.5 s to record 1,000 data item objects, U is the control quantity, which is associated with the U communication driver variable in WINCC, and the corresponding storage address in the PLC is MD200; Yout is the controlled quantity, which is related to the Yout communication driver variable in WINCC, and the corresponding storage address in the PLC is MD100; start is the control switch, associated with the start communication driver variable in WINCC, corresponding to the storage address in the PLC of M0.1; reset is the reset control switch, It is associated with the reset communication driver variable in WINCC, and corresponds to the storage address in the PLC as M0.0. KP, KI, KD, and TIME correspond to three real-time PID parameters and are the cycle time in MATLAB (used for the X-axis of trend graphing), and are the variables of the communication driver. The addresses in the PLC are MD20, MD24, MD28, and MD32. It shows that for these three software programs, the update cycle of the data in the respective storage areas must be consistent, the program control cycles in MATLAB and PLC need to be consistent, and the transmission of parameters must be correctly implemented in a control cycle according to the programming logic sequence, in order to realize the design of an IoT software monitoring and early warning system.","PeriodicalId":37863,"journal":{"name":"Nonlinear Engineering - Modeling and Application","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84724546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of target acquisition and sorting for object-finding multi-manipulator based on open MV vision 基于开放MV视觉的目标搜索多机械臂目标获取与排序优化

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0225

Na Dong, Fan-sheng Meng, R. Raffik, Mohammad Shabaz, Rahul Neware, Sangeetha Krishnan, Kama Na

引用次数: 5

Application of nonlinear adaptive technology in GPS positioning trajectory of ship navigation 非线性自适应技术在船舶导航GPS定位轨迹中的应用

IF 8.3

Nonlinear Engineering - Modeling and Application Pub Date : 2022-01-01 DOI: 10.1515/nleng-2022-0039

H. Dong, Hui Yin, Qingjun Xu

{"title":"Application of nonlinear adaptive technology in GPS positioning trajectory of ship navigation","authors":"H. Dong, Hui Yin, Qingjun Xu","doi":"10.1515/nleng-2022-0039","DOIUrl":"https://doi.org/10.1515/nleng-2022-0039","url":null,"abstract":"Abstract This article addresses the challenges in the periodic law of high-frequency motion and effectively identifies the influence of high-frequency motion on ship dynamic positioning. The main aim of the article is to design a dynamic positioning filter by applying nonlinear adaptive technology to eliminate the disturbance to the ship’s dynamic propulsion system. This article proposes a method to control the ship’s dynamic positioning and apply nonlinear adaptive technology in the dynamic positioning control in order to obtain the ship’s state and reference coordinate system. Further, a mathematical model and a dynamic environmental model in ship dynamic positioning control are analyzed in this work. The control index model is located by the experimental data, and the control performance is improved within the allowable range. The experimental analysis revealed that if the initial position of the ship is (0, 0, 0), then the desired position is (100, 100, 0). The operating ranges of –0.6 × 107 to 0.6 × 107, –0.4 × 107 to 0.4 × 107, and –5.6 × 108 to 5.6 × 108 are used. The ranges of motion of –150 to 150, –130 to 130, and –5 to 5 are observed, respectively, along with a wind disturbance force of 8 m/s. The wave disturbance force of 1 m/s is observed along with 90° wind. It was observed from the experimentation that the ship could basically achieve a stable operation and control the environmental disturbance within the error range. The outcomes reveal that the proposed dynamic positioning model based on nonlinear adaptive technology has strong stability and accuracy.","PeriodicalId":37863,"journal":{"name":"Nonlinear Engineering - Modeling and Application","volume":null,"pages":null},"PeriodicalIF":8.3,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72398701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0