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关键词

ARIMA模型；Kalman滤波；建模；训练；预测 1

LMS 1

MSJPDA 1

三维过程；三元数；最小均方；卡尔曼滤波器 1

不良信息 1

个性化推荐服务 1

信号处理 1

信息监管 1

信息过滤 1

全球定位系统 1

分布式卡尔曼一致性滤波；事件触发机制；信息年龄（AoI）；稳定性分析；能量优化 1

动态状态估计器；卡尔曼滤波；测试误差；支路参数误差；负荷突变 1

协同过滤 1

单波束测距 1

卡尔曼滤波 1

卡尔曼滤波；多重统计相似度量；多样野值；定点迭代；状态估计 1

卡尔曼滤波；高斯滤波；时间序列估计；贝叶斯滤波；非线性滤波；约束滤波；高斯混合；机动；未知输入 1

去雾；暗通道先验；雾图像模型；双边滤波 1

受限玻尔兹曼机；深层网络结构；协同过滤；推荐系统 1

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Tacholess order-tracking approach for wind turbine gearbox fault detection

Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU

《机械工程前沿（英文）》 2017年第12卷第3期页码 427-439 doi: 10.1007/s11465-017-0452-z

摘要：

Monitoring of wind turbines under variable-speed operating conditions has become an important issue in recent years. The gearbox of a wind turbine is the most important transmission unit; it generally exhibits complex vibration signatures due to random variations in operating conditions. Spectral analysis is one of the main approaches in vibration signal processing. However, spectral analysis is based on a stationary assumption and thus inapplicable to the fault diagnosis of wind turbines under variable-speed operating conditions. This constraint limits the application of spectral analysis to wind turbine diagnosis in industrial applications. Although order-tracking methods have been proposed for wind turbine fault detection in recent years, current methods are only applicable to cases in which the instantaneous shaft phase is available. For wind turbines with limited structural spaces, collecting phase signals with tachometers or encoders is difficult. In this study, a tacholess order-tracking method for wind turbines is proposed to overcome the limitations of traditional techniques. The proposed method extracts the instantaneous phase from the vibration signal, resamples the signal at equiangular increments, and calculates the order spectrum for wind turbine fault identification. The effectiveness of the proposed method is experimentally validated with the vibration signals of wind turbines.

关键词： wind turbine variable-speed operating conditions Vold-Kalman filtering tacholess order tracking

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State identification of home appliance with transient features in residential buildings

《能源前沿（英文）》 2022年第16卷第1期页码 130-143 doi: 10.1007/s11708-022-0822-z

摘要： Nonintrusive load monitoring (NILM) is crucial for extracting patterns of electricity consumption of household appliance that can guide users’ behavior in using electricity while their privacy is respected. This study proposes an online method based on the transient behavior of individual appliances as well as system steady-state characteristics to estimate the operating states of the appliances. It determines the number of states for each appliance using the density-based spatial clustering of applications with noise (DBSCAN) method and models the transition relationship among different states. The states of the working appliances are identified from aggregated power signals using the Kalman filtering method in the factorial hidden Markov model (FHMM). Thereafter, the identified states are confirmed by the verification of system states, which are the combination of the working states of individual appliances. The verification step involves comparing the total measured power consumption with the total estimated power consumption. The use of transient features can achieve fast state inference and it is suitable for online load disaggregation. The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED) and it outperformed other related methods in the literature.

关键词： nonintrusive load monitoring (NILM) load disaggregation online load disaggregation Kalman filtering factorial hidden Markov model (FHMM) Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED)

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近似高斯共轭：非线性、多模态、不确定以及约束下的参数递归滤波等 Review

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

《信息与电子工程前沿（英文）》 2017年第18卷第12期页码 1913-1939 doi: 10.1631/FITEE.1700379

摘要：自上世纪60年代作为现代估计开山之作的卡尔曼滤波器（Kalman filter）的诞生，时间序列状态空间模型应用于各类动态估计问题吸引了大量的研究关注。

关键词：卡尔曼滤波；高斯滤波；时间序列估计；贝叶斯滤波；非线性滤波；约束滤波；高斯混合；机动；未知输入

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一种新型多样野值鲁棒卡尔曼滤波器 Research Articles

黄玉龙,柏明明,张勇刚

《信息与电子工程前沿（英文）》 2022年第23卷第3期页码 422-437 doi: 10.1631/FITEE.2000642

摘要：针对线性离散随机系统，提出一种新型多样野值鲁棒卡尔曼滤波器（MORKF）。首先提出一种新的多重统计相似度来衡量两个随机向量各维度之间的相似性。然后，通过最大化基于多重统计相似度量的代价函数，得到所提出的MORKF。MORKF保证了迭代在弱约束下的收敛性，且本文从理论上分析了近似误差的有界性。给出了相似函数的选择策略，并与现有鲁棒方法进行比较。仿真结果验证了该滤波器的优越性。

关键词：卡尔曼滤波；多重统计相似度量；多样野值；定点迭代；状态估计

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相对传感网络分布式卡尔曼滤波器的收敛性分析 Research

Che LIN, Rong-hao ZHENG, Gang-feng YAN, Shi-yuan LU

《信息与电子工程前沿（英文）》 2018年第19卷第9期页码 1063-1075 doi: 10.1631/FITEE.1700066

摘要：严格分析了相对传感网络中分布式卡尔曼滤波问题。用无向图对相对传感网络建模，并假设网络中各节点具有相同动力学模型。给出整个系统可观测性的充要条件，并详细证明。通过局部信息和测量通信，设计了一种基于卡尔曼滤波技术的分布式次优估计器，并与集中式最优估计器比较。给出系统收敛对应的网络拓扑充分条件，并结合系统参数给出n个线性矩阵不等式（linear matrix inequality, LMI）方程的数值解。数值仿真验证了所提算法的有效性。

关键词：相对传感网络；分布式卡尔曼滤波；Schur稳定；线性矩阵不等式

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航天器高精度GPS导航定位技术研究

向开恒,曲广吉

《中国工程科学》 2004年第6卷第1期页码 86-91

摘要：

将GPS测量定位技术、求解卫星轨道摄动运动的Encke方法和广义Kalman滤波技术有机地结合在一起，提出了利用GPS实现低轨道航天器高精度自主导航定位的新方法——载波相位

关键词：航天器导航定位全球定位系统载波相位卡尔曼滤波

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三元数域自适应滤波与跟踪算法 Article

Xiao-ming GOU,Zhi-wen LIU,Wei LIU,You-gen XU

《信息与电子工程前沿（英文）》 2016年第17卷第8期页码 834-840 doi: 10.1631/FITEE.1601164

摘要：本文首次提出了一种基于三元数代数的三维过程新模型。与纯四元数模型相比，三元数模型更加紧凑，计算量更小，同时在自适应线性滤波方面具有类似或者可比的性能。此外，三元数模型可以有效表征卡尔曼滤波中状态转移的一般性关系，而纯四元数模型则无法对此进行表征。基于实测风力数据和合成数据集的仿真实验验证了这一新建模方法的潜能。

关键词：三维过程；三元数；最小均方；卡尔曼滤波器

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Sensorless direct torque control for salient-pole PMSM based on extended Kalman filter fed by AC/DC/AC

F. BENCHABANE, A. TITAOUINE, O. BENNIS, K. YAHIA, D. TAIBI, A. GUETTAF

《能源前沿（英文）》 2012年第6卷第3期页码 247-254 doi: 10.1007/s11708-012-0190-1

摘要： In this paper, a new sensorless interior permanent magnet synchronous motor (IPMSM) drives method with extended Kalman filter (EKF) for speed, rotor position and load torque estimation is proposed. The direct torque control (DTC) technique for permanent magnet synchronous motor (PMSM) is receiving increasing attention due to the important advantages of the low dependence on motor parameters when compared with other motor control techniques. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. The PMSM is fed by an indirect power electronic converter which is controlled by a sliding mode technique. The simulation tests performed for different operating conditions have confirmed the robustness of the overall system; and it is shown that the sliding mode technique has successfully minimized the different harmonics introduced by the line converter.

关键词： direct torque control (DTC) sensorless control extended Kalman filter (EKF) permanent magnet synchronous motor (PMSM) boost-rectifier

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基于ARIMA和Kalman滤波的道路交通状态实时预测 Article

东伟徐,永东王,利民贾,勇秦,宏辉董

《信息与电子工程前沿（英文）》 2017年第18卷第2期页码 287-302 doi: 10.1631/FITEE.1500381

摘要：本文提出了一种基于ARIMA模型和Kalman滤波算法的道路交通流预测方法。首先，基于道路交通历史数据建立时间序列的ARIMA模型。其次，结合ARIMA模型和Kalman滤波法构建道路交通预测算法，获取Kalman滤波的测量方程和更新方程。然后，基于历史道路交通数据进行算法的参数设定。实验结果表明，基于ARIMA模型和Kalman滤波的实时道路交通状态预测方法是可行的，并且可以获得很高的精度。

关键词： ARIMA模型；Kalman滤波；建模；训练；预测

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Ion beam figuring of continuous phase plates based on the frequency filtering process

Mingjin XU,Yifan DAI,Xuhui XIE,Lin ZHOU,Shengyi LI,Wenqiang PENG

《机械工程前沿（英文）》 2017年第12卷第1期页码 110-115 doi: 10.1007/s11465-017-0430-5

摘要：

Ion beam figuring (IBF) technology is an effective technique for fabricating continuous phase plates (CPPs) with small feature structures. This study proposes a multi-pass IBF approach with different beam diameters based on the frequency filtering method to improve the machining accuracy and efficiency of CPPs during IBF. We present the selection principle of the frequency filtering method, which incorporates different removal functions that maximize material removal over the topographical frequencies being imprinted. Large removal functions are used early in the fabrication to figure the surface profile with low frequency. Small removal functions are used to perform final topographical correction with higher frequency and larger surface gradient. A high-precision surface can be obtained as long as the filtering frequency is suitably selected. This method maximizes the high removal efficiency of the large removal function and the high corrective capability of the small removal function. Consequently, the fast convergence of the machining accuracy and efficiency can be achieved.

关键词： ion beam figuring (IBF) continuous phase plates (CPPs) machining accuracy machining efficiency frequency filtering process

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滤波天线：从创新概念到工业应用 Review Articles

Yun-fei CAO, Yao ZHANG, Xiu-yin ZHANG

《信息与电子工程前沿（英文）》 2020年第21卷第1期页码 116-127 doi: 10.1631/FITEE.1900474

摘要：滤波天线兼具滤波和辐射功能，可用于减少不同频带、距离较近的天线单元间的异频耦合。本文回顾论文作者提出的几款滤波天线和3个相关的双频基站天线阵列作为应用示例。滤波天线设计包括单极化和双极化滤波贴片天线、单极化全向滤波偶极子天线及用于基站的双极化滤波偶极子天线。不同于其他天线，本文中的滤波天线是具有消除多余滤波电路的创新概念。对于每种设计，滤波结构都与辐射体或馈电线良好集成。故提出的设计具有尺寸紧凑、结构简单、带内辐射性能良好、损耗低的优点，且不包含复杂滤波电路。基于提出的滤波天线，已开发出单极化和双极化双频天线阵列。利用滤波天线自身的频率选择功能，可有效降低不同频段天线单元间的异频互耦。相比于典型工业产品，双频阵列性能更佳。一些提出的技术已实现产业化应用。

关键词：滤波天线；双频；天线阵列

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A filtering-based bridge weigh-in-motion system on a continuous multi-girder bridge considering the influence

Hanli WU, Hua ZHAO, Jenny LIU, Zhentao HU

《结构与土木工程前沿（英文）》 2020年第14卷第5期页码 1232-1246 doi: 10.1007/s11709-020-0653-0

摘要： A real-time vehicle monitoring is crucial for effective bridge maintenance and traffic management because overloaded vehicles can cause damage to bridges, and in some extreme cases, it will directly lead to a bridge failure. Bridge weigh-in-motion (BWIM) system as a high performance and cost-effective technology has been extensively used to monitor vehicle speed and weight on highways. However, the dynamic effect and data noise may have an adverse impact on the bridge responses during and immediately following the vehicles pass the bridge. The fast Fourier transform (FFT) method, which can significantly purify the collected structural responses (dynamic strains) received from sensors or transducers, was used in axle counting, detection, and axle weighing technology in this study. To further improve the accuracy of the BWIM system, the field-calibrated influence lines (ILs) of a continuous multi-girder bridge were regarded as a reference to identify the vehicle weight based on the modified Moses algorithm and the least squares method. experimental results indicated that the signals treated with FFT filter were far better than the original ones, the efficiency and the accuracy of axle detection were significantly improved by introducing the FFT method to the BWIM system. Moreover, the lateral load distribution effect on bridges should be considered by using the calculated average ILs of the specific lane individually for vehicle weight calculation of this lane.

关键词： bridge weigh-in-motion continuous bridge fast Fourier transform influence line axle weight calculation

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Resampling methods for particle filtering: identical distribution, a new method, and comparable study

Tian-cheng LI,Gabriel VILLARRUBIA,Shu-dong SUN,Juan M. CORCHADO,Javier BAJO

《信息与电子工程前沿（英文）》 2015年第16卷第11期页码 969-984 doi: 10.1631/FITEE.1500199

摘要： Resampling is a critical procedure that is of both theoretical and practical significance for efficient implementation of the particle filter. To gain an insight of the resampling process and the filter, this paper contributes in three further respects as a sequel to the tutorial (Li et al., 2015). First, identical distribution (ID) is established as a general principle for the resampling design, which requires the distribution of particles before and after resampling to be statistically identical. Three consistent metrics including the (symmetrical) Kullback-Leibler divergence, Kolmogorov-Smirnov statistic, and the sampling variance are introduced for assessment of the ID attribute of resampling, and a corresponding, qualitative ID analysis of representative resampling methods is given. Second, a novel resampling scheme that obtains the optimal ID attribute in the sense of minimum sampling variance is proposed. Third, more than a dozen typical resampling methods are compared via simulations in terms of sample size variation, sampling variance, computing speed, and estimation accuracy. These form a more comprehensive understanding of the algorithm, providing solid guidelines for either selection of existing resampling methods or new implementations.

关键词： Particle filter Resampling Kullback-Leibler divergence Kolmogorov-Smirnov statistic

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针对目标跟踪的两种基于最大期望算法测量值偏差估计过程的性能分析 None

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

《信息与电子工程前沿（英文）》 2018年第19卷第9期页码 1151-1165 doi: 10.1631/FITEE.1800214

摘要：在现实目标跟踪问题中，传感器采集的测量值，比如系统缺陷，可能存在一定程度偏差。为正确估计目标的运动轨迹，测量值偏差的识别与估计将成为首要任务。首先，提出两种状态空间模型，分别把测量值偏差视为随机变量和常数。其次，假设测量值样本数足够大，基于最大期望算法，利用扩展卡尔曼滤波和平滑，针对两种模型提出不同的循环迭代偏差估计过程。最后，分析这两种估计过程的全局收敛结果，揭示其内在联系。结果表明，第二种估计过程比第一种估计过程更简单准确，并且收敛速度更快。批量处理测量值样本后，可同时获得目标运动轨迹和测量值偏差的估计结果。

关键词：非线性状态空间模型；测量值偏差；扩展卡尔曼滤波；扩展卡尔曼平滑；最大期望算法

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基于鲁棒法矢滤波和交替顶点更新的有效网格去噪 Article

Tao LI, Jun WANG, Hao LIU, Li-gang LIU

《信息与电子工程前沿（英文）》 2017年第18卷第11期页码 1828-1842 doi: 10.1631/FITEE.1601229

摘要：区分特征和噪声是网格去噪中最具挑战性的问题。本文基于鲁棒的引导法矢估计和交替顶点更新策略，研究了一种新的、保持特征的网格去噪方法。为了准确地捕捉特征周围的局部结构，我们提出了一种角点敏感的邻域（corner-aware neighborhood, CAN）方案。本文将CAN中所有面的总体法矢分布及其相应面的个体法矢影响相结合，提出了一种新的一致性度量方法，大大提高了引导法矢估计的可靠性。随着噪声水平的降低，我们用前次迭代的得到滤波法矢作为引导进行联合双边滤波，其思想与新出现的rolling guidance方法是一致的。在顶点更新过程中，我们在每次迭代时都根据滤波后的法线对顶点进行分类，并在各自的正则化约束下交替地对不同类型的顶点进行重新定位。对各种合成数据和实际数据的实验表明，该方法能适应高斯噪声和脉冲噪声等不同类型的噪声，且无论噪声沿法矢方向还是沿随机方向分布，都不会出现翻转的三角片。

关键词：网格去噪；引导法矢滤波；交替顶点更新；角点敏感邻域

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标题作者时间类型操作

Tacholess order-tracking approach for wind turbine gearbox fault detection

Yi WANG, Yong XIE, Guanghua XU, Sicong ZHANG, Chenggang HOU

期刊论文

State identification of home appliance with transient features in residential buildings

期刊论文

近似高斯共轭：非线性、多模态、不确定以及约束下的参数递归滤波等

Tian-cheng LI, Jin-ya SU, Wei LIU, Juan M. CORCHADO

期刊论文

一种新型多样野值鲁棒卡尔曼滤波器