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Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 449-457 doi: 10.1631/FITEE.1500262

Abstract: Noise statistics are essential for estimation performance.In practical situations, however, a priori information of noise statistics is often imperfect.Previous work on noise statistics identification in linear systems still requires initial prior knowledgeof the noise.Then by applying state estimates obtained from the H∞ filter, better estimates of the noise mean and

Keywords： Noise estimate     H∞     filter     Target tracking    

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An Estimate Method of Parametric in Reliability Engineering

Han Ming

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 51-56

Abstract:

In this paper, the Bayesian method, an estimate method for parameter in reliability engineering isThe author gives definition of the new Bayesian estimate for failure probability and failure rate, andshows the estimate of the failure probability and the failure rate by new Bayesian method.

Keywords： reliability engineering     parameter estimate     new Bayesian estimate     failure probability    

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Development of an analytical model to estimate the churning losses in high-speed axial piston pumps

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-021-0671-1

Abstract: design stage of high-speed axial piston pumps, but accurate analytical models are not available to estimate

Keywords： axial piston pump     rotating parts     high rotational speed     churning losses     drag torque    

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Fast scaling approach based on cavitation conditions to estimate the speed limitation for axial piston

Qun CHAO, Jianfeng TAO, Junbo LEI, Xiaoliang WEI, Chengliang LIU, Yuanhang WANG, Linghui MENG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 176-185 doi: 10.1007/s11465-020-0616-0

Abstract: This paper presents a scaling law derived from an analytical cavitation model to estimate the speed limitations

Keywords： axial piston pump     cavitation     speed limitation     scaling law    

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Design of noise-reduction seats for high-speed trains

Xiaojun DENG, Yanju ZHAO, Haijin ZHANG, Renzhong SHUAI, Leiwei ZHU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 385-389 doi: 10.1007/s11465-017-0438-x

Abstract: reduce noise.interior noise spectral characteristics.seats substantially reduced the noise in an entire train car.noise level at a standard point in the passenger car by 1.5 dB.Therefore, the noise-reduction seats are effective in noise reduction.

Keywords： high-speed train     sound-absorbing materials     perforated board     noise-reduction seats    

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The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 609-622 doi: 10.1007/s11709-020-0623-6

Abstract: This paper discusses the adoption of Artificial Intelligence-based techniques to estimate seismic damage

Keywords： Artificial Neural Networks     seismic vulnerability     masonry buildings     damage estimation     vulnerability curves    

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 990-1002 doi: 10.1007/s11709-022-0864-7

Abstract: This study examined the feasibility of using the grey wolf optimizer (GWO) and artificial neural network (ANN) to predict the compressive strength (CS) of self-compacting concrete (SCC). The ANN-GWO model was created using 115 samples from different sources, taking into account nine key SCC factors. The validation of the proposed model was evaluated via six indices, including correlation coefficient (R), mean squared error, mean absolute error (MAE), IA, Slope, and mean absolute percentage error. In addition, the importance of the parameters affecting the CS of SCC was investigated utilizing partial dependence plots. The results proved that the proposed ANN-GWO algorithm is a reliable predictor for SCC’s CS. Following that, an examination of the parameters impacting the CS of SCC was provided.

Keywords： artificial neural network     grey wolf optimize algorithm     compressive strength     self-compacting concrete    

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Ambient Noise Tomography for Coral Islands Article

Shaohong Xia, Changrong Zhang, Jinghe Cao

Engineering 2023, Volume 25, Issue 6,   Pages 182-193 doi: 10.1016/j.eng.2021.09.022

Abstract: recorded by a dense array on an isolated coral island in the South China Sea, we analyzed the ambient noisecharacteristics and obtained a 3D subsurface structure of the coral island using ambient noise tomographyWe made the following findings: ① The ambient noise frequencies can be roughly categorized into threeThe spectral characteristics of the noise below 5 Hz were consistent at different stations, but therewere significant differences in the characteristics of the noise above 5 Hz. ② For ambient noise frequencies

Keywords： Coral island     Ambient noise tomography     Engineering geology     South China Sea    

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Investigation of flow dynamics and decrease of vortex noise inside volute of centrifugal fans

LI Chunxi, WANG Songling

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 235-240 doi: 10.1007/s11708-008-0040-3

Abstract: The generation, evolution, and noise of the vortex were investigated when cylinder-shaped and cone-cylinder-shapedExperimental results indicated A-sound level and spectrum noise of the refitted fan decreased and thetwo anti-vortex rings were effective in decreasing vortex noise.more effective than the cylinder-shaped one in breaking large-scale vortexes and decreasing vortex noise

Keywords： cylinder-shaped     evolution     computational     effective     large-scale    

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Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration and noise

Guilian YI, Yunkang SUI, Jiazheng DU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 2,   Pages 229-234 doi: 10.1007/s11465-011-0128-z

Abstract:

To reduce vibration and noise, a damping layer and constraint layer are usually pasted on the innersurface of a gearbox thin shell, and their thicknesses are the main parameters in the vibration and noiseacceleration of the point on the gearbox surface is the main index that can reflect the vibration and noisepoint, and the normal accelerations of different points can reflect the degree of the vibration and noisestructure, and the vibration acceleration level is adopted to measure the degree of the vibration and noise

Keywords： Abaqus secondary development     Python language     vibration and noise reduction     K-S function     vibration acceleration    

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Integrated virtual-design methods for forecasting radiated noise of single cylinder diesel block

GUO Lei, HAO Zhiyong, XU Hongmei, LIU Lianyun

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 416-421 doi: 10.1007/s11708-008-0097-z

Abstract: Finally, the radiated noise such as sound power level and efficiency in the out sound field were obtained

Keywords： bearing     dynamical     frequency response     dynamical simulation     hybrid dynamical    

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of structural responses using an optimal passive tuned mass damper under stationary Gaussian white noise

Min-Ho CHEY, Jae-Ung KIM

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 267-280 doi: 10.1007/s11709-012-0170-x

Abstract: a TMD, such as the optimal tuning frequency and optimal damping ratio, to stationary Gaussian white noise

Keywords： tuned mass damper     parametric optimization     passive control     white noise     earthquake excitation    

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Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.1900617

Abstract: We investigate cooperative target tracking of multiple unmanned aerial vehicles (UAVs) with a limited communication range. This is an integration of UAV motion control, target state estimation, and network topology control. We first present the communication topology and basic notations for , and introduce the distributed . Then, convergence and boundedness of the estimation errors using the filter are analyzed, and potential functions are proposed for communication link maintenance and collision avoidance. By taking stable target tracking into account, a distributed potential function based UAV motion controller is discussed. Since only the estimation of the target state rather than the state itself is available for UAV motion control and UAV motion can also affect the accuracy of state estimation, it is clear that the UAV motion control and target state estimation are coupled. Finally, the stability and convergence properties of the coupled system under are analyzed in detail and demonstrated by simulations.
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Suitability of common models to estimate hydrology and diffuse water pollution in North-eastern German

Muhammad WASEEM, Frauke KACHHOLZ, Jens TRÄNCKNER

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 420-431 doi: 10.15302/J-FASE-2018243

Abstract:

Various process-based models are extensively being used to analyze and forecast catchment hydrology and water quality. However, it is always important to select the appropriate hydrological and water quality modeling tools to predict and analyze the watershed and also consider their strengths and weaknesses. Different factors such as data availability, hydrological, hydraulic, and water quality processes and their desired level of complexity are crucial for selecting a plausible modeling tool. This review is focused on suitable model selection with a focus on desired hydrological, hydraulic and water quality processes (nitrogen fate and transport in surface, subsurface and groundwater bodies) by keeping in view the typical lowland catchments with intensive agricultural land use, higher groundwater tables, and decreased retention times due to the provision of artificial drainage. In this study, four different physically based, partially and fully distributed integrated water modeling tools, SWAT (soil and water assessment tool), SWIM (soil and water integrated model), HSPF (hydrological simulation program– FORTRAN) and a combination of tools from DHI (MIKE SHE coupled with MIKE 11 and ECO Lab), have been reviewed particularly for the Tollense River catchment located in North-eastern Germany. DHI combined tools and SWAT were more suitable for simulating the desired hydrological processes, but in the case of river hydraulics and water quality, the DHI family of tools has an edge due to their integrated coupling between MIKE SHE, MIKE 11 and ECO Lab. In case of SWAT, it needs to be coupled with another tool to model the hydraulics in the Tollense River as SWAT does not include backwater effects and provision of control structures. However, both SWAT and DHI tools are more data demanding in comparison to SWIM and HSPF. For studying nitrogen fate and transport in unsaturated, saturated, and river zone, HSPF was a better model to simulate the desired nitrogen transformation and transport processes. However, for nitrogen dynamics and transformations in shallow streams, ECO Lab had an edge due its flexibility for inclusion of user-desired water quality parameters and processes. In the case of SWIM, most of the input data and governing equations are similar to SWAT but it does not include water bodies (ponds and lakes), wetlands and drainage systems. In this review, only the processes that were needed to simulate the Tollense River catchment were considered, however the resulted model selection criteria can be generalized to other lowland catchments in Australia, North-western Europe and North America with similar complexity.

Keywords： diffuse pollution     ECO Lab     HSPF     lowland catchment     MIKE 11     MIKE SHE     modeling tools     SWAT     SWIM     Tollense River     water quality    

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Numerical analysis of aerodynamic noise radiated from cross flow fan

CHEN Anbang, LI Song, HUANG Dongtao

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 443-447 doi: 10.1007/s11708-008-0063-9

Abstract: calculated pressure fluctuations of the blades, the vortex wall, and the rear wall were then used as noiseThe Ffowcs Williams-Hawkings (FW-H) equation was employed to predict the noise field caused by thesepredictions show that the rear wall and the vortex wall sources contribute significantly to the total noiseand that both the predicted aerodynamic performance and noise agree well with the experimental results

Keywords： predicted aerodynamic     Williams-Hawkings     calculated pressure     aerodynamic performance     unsteady Reynolds-averaged    

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Title Author Date Type Operation

Anovel approach of noise statistics estimate using H∞ filter in target tracking

Xie WANG,Mei-qin LIU,Zhen FAN,Sen-lin ZHANG

Journal Article

An Estimate Method of Parametric in Reliability Engineering

Han Ming

Journal Article

Development of an analytical model to estimate the churning losses in high-speed axial piston pumps

Journal Article

Fast scaling approach based on cavitation conditions to estimate the speed limitation for axial piston

Qun CHAO, Jianfeng TAO, Junbo LEI, Xiaoliang WEI, Chengliang LIU, Yuanhang WANG, Linghui MENG

Journal Article

Design of noise-reduction seats for high-speed trains

Xiaojun DENG, Yanju ZHAO, Haijin ZHANG, Renzhong SHUAI, Leiwei ZHU

Journal Article

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Journal Article

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Journal Article

Ambient Noise Tomography for Coral Islands

Shaohong Xia, Changrong Zhang, Jinghe Cao

Journal Article

Investigation of flow dynamics and decrease of vortex noise inside volute of centrifugal fans

LI Chunxi, WANG Songling

Journal Article

Application of python-based Abaqus preprocess and postprocess technique in analysis of gearbox vibration and noise

Guilian YI, Yunkang SUI, Jiazheng DU

Journal Article

Integrated virtual-design methods for forecasting radiated noise of single cylinder diesel block

GUO Lei, HAO Zhiyong, XU Hongmei, LIU Lianyun

Journal Article

of structural responses using an optimal passive tuned mass damper under stationary Gaussian white noise

Min-Ho CHEY, Jae-Ung KIM

Journal Article

Multi-UAV cooperative target tracking with bounded noise for connectivity preservation

Rui Zhou, Yu Feng, Bin Di, Jiang Zhao, Yan Hu,jzhao@buaa.edu.cn

Journal Article

Suitability of common models to estimate hydrology and diffuse water pollution in North-eastern German

Muhammad WASEEM, Frauke KACHHOLZ, Jens TRÄNCKNER

Journal Article

Numerical analysis of aerodynamic noise radiated from cross flow fan

CHEN Anbang, LI Song, HUANG Dongtao

Journal Article