检索结果-内蒙古大学图书馆

Application of a territorial-based filtering algorithm in turbomachinery blade design optimization

ENGINEERING OPTIMIZATION 2017年第2期49卷 216-234页

作者： Bahrami, Salman Khelghatibana, Maryam Tribes, Christophe Lo, Suk Yi von Fellenberg, Sven Trepanier, Jean-Yves Guibault, Francois Polytech Montreal Dept Mech Engn Montreal PQ Canada Andritz Hydro Canada Inc R&D Div Pointe Claire PQ Canada Polytech Montreal Dept Comp Engn Montreal PQ Canada

A territorial-based filtering algorithm (TBFA) is proposed as an integration tool in a multi-level design optimization methodology. The design evaluation burden is split between low-and high-cost levels in order to properly balance the cost and required accuracy in different design stages, based on the characteristics and requirements of the case at hand. TBFA is in charge of connecting those levels by selecting a given number of geometrically different promising solutions from the low-cost level to be evaluated in the high-cost level. Two test case studies, a Francis runner and a transonic fan rotor, have demonstrated the robustness and functionality of TBFA in real industrial optimization problems.

关键词： filtering algorithm multi-level design optimization blade shape optimization

来源：评论

学校读者我要写书评

暂无评论

A filtering algorithm to Dynamic State Estimation for Power Systems with Sensor Delay

A Filtering Algorithm to Dynamic State Estimation for Power ...

引用

Chinese Automation Congress (CAC)

作者： ChengCheng Bai, Xingzhen Chen, Xiangmin Shandong Univ Sci & Technol Dept Coll Elect Engn & Automat Qingdao Peoples R China

ISBN: (纸本)9781538635247

In this paper, a recursive filtering method based on Kalman filter is proposed for the sensor delay in each state measurement of power system. Due to sampling frequency in the power system is generally high in milliseconds, the network topology is unchanged and the system state does not change much, therefore the system state at the next moment can be approximately linear relationship with the current state of the system, so we can get the linear state equation. In the measurement, the sensor delay is a common phenomenon in the project, in order to solve this problem in the dynamic estimation of the power system, a reasonable observation model is established to make it more close to the actual measurement situation in this paper, where the delay variable satisfies the Bernoulli distribution. Moreover, assume that the noise is Gaussian white noise, and then on the basis of two equations, using Kalman filter and some mathematical methods to find the gain parameters under the minimum error, make the filtering algorithm complete. Simulations are carried out on the IEEE 5-bus test system. The simulation results shows that the effectiveness of the proposed filtering algorithm.

关键词： dynamic state estimation power system filtering algorithm

来源：评论

学校读者我要写书评

暂无评论

A Spectrum Graph-Based Protein Sequence filtering algorithm for Proteoform Identification by Top-Down Mass Spectrometry

A Spectrum Graph-Based Protein Sequence Filtering Algorithm ...

引用

IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM)

作者： Yang, Runmin Zhu, Daming Kou, Qiang Bhat-Nakshatri, Poornima Nakshatri, Harikrishna Wu, Si Liu, Xiaowen Shandong Univ Sch Comp Sci & Technol Jinan Shandong Peoples R China Indiana Univ Purdue Univ Indianapolis Dept BioHlth Informat Indianapolis IN 46202 USA Indiana Univ Sch Med Dept Surg Indianapolis IN 46202 USA Univ Oklahoma Dept Chem & Biochem Norman OK 73019 USA Indiana Univ Sch Med Ctr Computat Biol & Bioinformat Indianapolis IN 46202 USA

ISBN: (纸本)9781509030507

Database search is the main approach for identifying proteoforms using top-down tandem mass spectra. However, it is extremely slow to align a query spectrum against all protein sequences in a large database when the target proteoform that produced the spectrum contains post-translational modifications and/or mutations. As a result, efficient and sensitive protein sequence filtering algorithms are essential for speeding up database search. In this paper, we propose a novel filtering algorithm, which generates spectrum graphs from subspectra of the query spectrum and searches them against the protein database to find good candidates. Compared with the sequence tag and gaped tag approaches, the proposed method circumvents the step of tag extraction, thus simplifying data processing. Experimental results on real data showed that the proposed method achieved both high speed and high sensitivity in protein sequence filtration.

关键词： Mass spectrometry filtering algorithm spectrum graph

来源：评论

学校读者我要写书评

暂无评论

Empirical Model Based on New filtering algorithm for High-Speed-Train Channels

Empirical Model Based on New Filtering Algorithm for High-Sp...

引用

IEEE Wireless Communications and Networking Conference (WCNC)

作者： Liu, Yueliang Li, Yuhui Zhang, Xiang Wang, Wenbo Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Wireless Signal Proc & Network Lab Beijing 100876 Peoples R China China Acad Informat & Commun Technol Beijing Peoples R China

ISBN: (纸本)9781509041831

To meet the increasing demand for passengers in high-speed train (HST) system, it is critical to develop the understanding of properties in HST propagation environment. This paper derives a new channel model for HST by conducting a measurement campaign in a commercial HST network at 1.905 GHz in China from Beijing to Tianjin. A median average filtering (MAF) algorithm is proposed to remove the effect of multipath on the analysis in large-scale parameters. Meanwhile, spatial autocorrelation and parameters of shadow fading are researched associated with the existing topology of HST network. Furthermore, the performance of the proposed method is evaluated and compared with local mean filtering algorithm that followed Lee's law by proceeding both goodness-of-fit (GoF) and Kolmogorov-Smirnov (KS) tests. The results indicate that the proposed method can precisely estimate the channel model parameters and provide a better fitting to the measured data. Thus, the channel model developed in this paper can be useful as a guide to characterize the propagation channel in HST environment.

关键词： High-speed train (HST) path loss shadow fading filtering algorithm goodness-of-fit (GoF)

来源：评论

学校读者我要写书评

暂无评论

A filtering algorithm for trajectory target in free section based on MM-UKF

A filtering algorithm for trajectory target in free section ...

引用

CIE International Conference on Radar (RADAR)

作者： Wang, Cong Guo, Chen Wang, HaiPeng Naval Aeronaut Engn Inst Inst Informat Fus Yantai Peoples R China

ISBN: (纸本)9781509048281

In order to improve accuracy of filtering of trajectory in free phase, a filtering algorithm of the trajectory in free phase is proposed based on MM-UKF. First, under the framework of UKF filtering, trajectory in free phase model with amendments J(2) is introduced and its expression is derived;then, in order to ensure accuracy and robustness of filter simultaneously, the multiple-model algorithm is involved within the framework of UKF;finally, a complete filtering process is proposed. Simulation results show that, compared with the traditional EKF and UKF algorithms, this algorithm have an advantage in filtering accuracy and convergence rate.

关键词： filtering algorithm accuracy of filtering convergence rate

来源：评论

学校读者我要写书评

暂无评论

Noise Character and filtering algorithm in Fiber Optic Current Transducer 10

Noise Character and Filtering Algorithm in Fiber Optic Curre...

引用

10th International Conference on Sensing Technology (ICST)

作者： Cao, Min Li, Bo Lin, Cong Liu, Qingchan Wei, Guangjin Yunnan Power Grid Co Ltd Elect Power Res Inst Kunming Yunnan Province Peoples R China Southeast Univ Sch Instrument Sci & Engn Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781509007967

Compared with electromagnetic current transducer and electronic current transducer, fiber optic current transducer (FOCT) represents the developing direction of current transducer, which has a series of advantages, such as wide bandwidth, good insulation performance, high measuring accuracy, and so on. FOCT is one kind of new-type precise sensor based on the principle of Faraday magneto-optical phase circling, its' complicated structure results in shot noise, intensity noise, hot phase noise, and electromagnetic interference noise, which have great effect on FOCT's performance. Relativity of noise random process in time domain and stability of noise random process in frequency domain are analyzed, based on the analysis results, noise identification model and algorithm are proposed, and different type noise in FOCT showing main character is quantified by using noise identification model and algorithm. Aiming on decreasing the influence of noise to FOCT performance, filtering algorithm is applied in FOCT data processing. Experiments show that noise character is complex, noise dentification model and noise filtering algorithm are effective in FOCT noise processing system.

关键词： fiber optic current transducer (FOCT) noise frequency stability filtering algorithm

来源：评论

学校读者我要写书评

暂无评论

filtering algorithm of Airborne Doppler Lidar Measurements for Improved Wind Estimation

引用

TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 2015年第3期58卷 149-155页

作者： Misaka, Takashi Nakabayashi, Fabio K. Obayashi, Shigeru Inokuchi, Hamaki Tohoku Univ Frontier Res Inst Interdisciplinary Sci Sendai Miyagi 9808577 Japan Tohoku Univ Inst Fluid Sci Sendai Miyagi 9808577 Japan Japan Aerosp Explorat Agcy Inst Aeronaut Technol Tokyo 1810015 Japan

In this paper, we describe a filtering algorithm for removing the error of wind velocity arises in airborne Doppler lidar measurements. The algorithm is based on the Kalman filter with a simplified Kalman gain, which assumes zero variance for correct wind velocity and infinite variance for incorrect wind velocity. The algorithm is applied to 17,487 seconds of airborne Doppler lidar measurements, where a sequence of measurements along the lidar's measurement range is obtained every one second. The reduction of incorrect wind velocity is evaluated at the distance where correct wind velocity exists at least 20-30% of the time out of all measurements. The average standard deviation of filtered wind velocity at the above mentioned distance results in 17.2% of the original value, which is similar magnitude to correct measurements.

关键词： filtering algorithm Airborne Doppler Lidar Atmospheric Turbulence

来源：评论

学校读者我要写书评

暂无评论

Efficient filtering based on Kullback-Leibler divergence for wireless networked control systems with Markovian packet losses

引用

INTERNATIONAL JOURNAL OF CONTROL 2023年第10期96卷 2587-2599页

作者： Dong, Jianhuai Dong, Zhixuan Fujian Jiangxia Univ Sch Elect Informat Sci Fuzhou Peoples R China Fudan Univ Sch Microelect Shanghai Peoples R China

In this paper, the filtering issues are investigated for wireless networked control systems (WNCSs) with Markovian packet losses. In WNCSs, Markovian packet losses often occur in both control and feedback channels, and User Datagram Protocol (UDP) is usually used to ensure real-time control and energy saving. First, the optimal filtering algorithm for WNCSs with Markovian packet losses is obtained. However, it cannot be applied in practice as its running time increases exponentially with time. Then a computationally efficient filtering algorithm is developed by approximating the probability density function of the estimated value to a Gaussian distribution, where the approximation is obtained by minimising the Kullback-Leibler divergence (KLD). Finally, the upper and lower bounds of the performance of the KLD-based approximate filter and sufficient conditions of its stability are obtained. Numerical examples are given to verify the effectiveness of the theoretical results.

关键词： Wireless networked control systems Markovian packet losses filtering algorithm Kullback-Leibler divergence stability

来源：评论

学校读者我要写书评

暂无评论

Research on a System Noise Simulation and filtering Method in Tunable Diode Laser Absorption Spectroscopy Technology

引用

JOURNAL OF APPLIED SPECTROSCOPY 2023年第4期90卷 867-875页

作者： Yan, Wang Fang, Wang Rui, Zhang Bo, Yan Yang, Si-Yan Li, Xin-Bo Tianjin Chengjian Univ Sch Comp & Informat Engn Tianjin Peoples R China Tianjin Univ Sci & Technol Coll Elect Informat & Automat Tianjin Peoples R China Hebei Univ Architecture Coll Elect Engn Zhangjiakou Peoples R China

To solve the problem of multiple noise interference when tunable diode laser absorption spectroscopy (TDLAS) technology is used for gas concentration detection, the principles of Kalman, moving average, wavelet transform, and singular value decomposition four filtering algorithm principles and system noise sources are analyzed. MATLAB simulation software is used to simulate the relationship curve of thermal noise, shot noise, relative intensity noise of lasers, and the characteristic value of harmonic signals. Four filtering algorithms are used to process the noise, and the best filtering algorithm is selected. Moreover, a TDLAS experimental system with ethylene gas as the detection object is designed in this paper. The experimental results show that the singular value decomposition method among the four filtering algorithms has the best effect in removing thermal noise, shot noise, and laser noise. After filtering is performed, the accuracy of the continuous detection of the system is improved, and the purpose of reducing or even eliminating system noise can be achieved. After processing occurs, the signal-to-noise ratio of the detected signal of the system is improved by 57 dB, and the noise removal rate of the system reaches 66.7%.

关键词： tunable diode laser absorption spectrum filtering algorithm noise simulation ethylene

来源：评论

学校读者我要写书评

暂无评论

Adaptive interacting multiple model particle filter based on a dual-pattern bat algorithm for maneuvering target tracking

引用

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2025年第4期239卷 293-311页

作者： Tian, Mengchu Chen, Zhimin Fang, Yubin Nanjing Univ Sci & Technol Sch Intelligent Mfg 200 Xiaolingwei St Nanjing 210094 Peoples R China China Satellite Maritime Tracking & Controlling De Jiangyin Peoples R China

The interacting multiple model particle filter (IMM-PF) is a filtering method commonly used for nonlinear non-Gaussian radar systems. Its transfer probabilities are usually fixed and dependent on prior information. When tracking maneuvering targets, the IMM-PF may cause excessive tracking errors due to the model switching lag. In addition, the particle impoverishment caused by the resampling of the particle filter seriously affects the filtering accuracy. Therefore, the IMM-PF has difficulty meeting the accuracy and speed requirements of modern high-performance radar target tracking systems. To address these problems, an adaptive interacting multiple model particle filter based on the dual-pattern bat algorithm (ADIMM-DPBA-PF) is proposed for tracking maneuvering targets under nonlinear and non-Gaussian conditions. First, the adaptive model switching mechanism is established to adjust the transition probabilities using the model probability posterior information at consecutive times, improving the model switching efficiency. Second, a particle filter based on the dual-pattern bat algorithm (DPBA-PF) is proposed. The filter exploits global search and local search strategies to optimize the particles and intelligently move the particles to the high likelihood region. Finally, a particle filter based on the dual-pattern bat algorithm is used to form the adaptive interacting multiple model method. The experimental results show that the proposed algorithm has better comprehensive performance than the IMM-PF.

关键词： Interacting multiple model maneuvering target tracking particle filter bat algorithm filtering algorithm

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：