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sensor selection of helicopter transmission systems based on physical model and sensitivity analysis

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Chinese Journal of Aeronautics 2014年第3期27卷 643-654页

作者： Lyu Kehong Tan Xiaodong Liu Guanjun Zhao Chenxu Science and Technology on Integrated Logistics Support Laboratory National University of Defense Technology Department of Electronic Technology Officer’s College of CAPF

In the helicopter transmission systems, it is important to monitor and track the tooth damage evolution using lots of sensors and detection methods. This paper develops a novel approach for sensor selection based on physical model and sensitivity analysis. Firstly, a physical model of tooth damage and mesh stiffness is built. Secondly, some effective condition indicators （Cls） are presented, and the optimal Cls set is selected by comparing their test statistics according to Mann-Kendall test. Afterwards, the selected CIs are used to generate a health indicator （HI） through sen slop estimator. Then, the sensors are selected according to the monotonic relevance and sensitivity to the damage levels. Finally, the proposed method is verified by the simulation and experimental data. The results show that the approach can provide a guide for health monitor- ing of helicopter transmission systems, and it is effective to reduce the test cost and improve the system＇s reliability.

关键词： Condition indicators Health indicator Helicopter transmissionsystems Mann-Kendall test Physical model Sensitivity analysis Sen slop estimator sensor selection

Parametric study on contact sensors for MASW measurement-based interfacial debonding detection for SCCS

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Earthquake Engineering and Engineering Vibration 2024年第2期23卷 331-344页

作者： Chen Hongbing Pang Xin Gan Shiyu Li Yuanyuan Gokarna Chalise Nie Xin Research Institute of Urbanization and Urban Safety School of Civil and Resource EngineeringUniversity of Science and Technology BeijingBeijing 100083China Department of Civil Engineering Tsinghua UniversityBeijing 100084China Faculty of Infrastructure Engineering Dalian University of TechnologyDalian 116081China

Steel-concrete composite structures(SCCS)have been widely used as primary load-bearing components in large-scale civil infrastructures.As the basis of the co-working ability of steel plate and concrete,the bonding status plays an essential role in guaranteeing the structural performance of SCCS.Accordingly,efficient non-destructive testing(NDT)on interfacial debondings in SCCS has become a prominent research area.Multi-channel analysis of surface waves(MASW)has been validated as an effective NDT technique for interfacial debonding detection for SCCS.However,the feasibility of MASW must be validated using experimental measurements.This study establishes a high-frequency data synchronous acquisition system with 32 channels to perform comparative verification experiments in depth.First,the current sensing approaches for high-frequency vibration and stress waves are summarized.Secondly,three types of contact sensors,namely,piezoelectric lead-zirconate-titanate(PZT)patches,accelerometers,and ultrasonic transducers,are selected for MASW measurement.Then,the selection and optimization of the force hammer head are performed.Comparative experiments are carried out for the optimal selection of ultrasonic transducers,PZT patches,and accelerometers for MASW measurement.In addition,the influence of different pasting methods on the output signal of the sensor array is discussed.Experimental results indicate that optimized PZT patches,acceleration sensors,and ultrasonic transducers can provide efficient data acquisition for MASW-based non-destructive experiments.The research findings in this study lay a solid foundation for analyzing the recognition accuracy of contact MASW measurement using different sensor arrays.

关键词： steel-concrete composite structures(SCCS) interface debonding detection multi-channel analysis of surface waves(MASW) sensor selection comparative experimental study

Accurately tracking hypersonic gliding vehicles via an LEO mega-constellation in relay tracking mode

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Journal of Systems Engineering and Electronics 2024年第1期35卷 211-221页

作者： LI Zhao WANG Yidi ZHENG Wei College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China

In order to effectively defend against the threats of the hypersonic gliding vehicles(HGVs),HGVs should be tracked as early as possible,which is beyond the capability of the ground-based radars.Being benefited by the developing megaconstellations in low-Earth orbit,this paper proposes a relay tracking mode to track HGVs to overcome the above problem.The whole tracking mission is composed of several tracking intervals with the same duration.Within each tracking interval,several appropriate satellites are dispatched to track the HGV.Satellites that are planned to take part in the tracking mission are selected by a new derived observability criterion.The tracking performances of the proposed tracking mode and the other two traditional tracking modes,including the stare and track-rate modes,are compared by simulation.The results show that the relay tracking mode can track the whole trajectory of a HGV,while the stare mode can only provide a very short tracking arc.Moreover,the relay tracking mode achieve higher tracking accuracy with fewer attitude controls than the track-rate mode.

关键词： target tracking mega-constellation hypersonic gliding vehicle(HGV) sensor selection observability analysis

sensor selection for parameterized random field estimation in wireless sensor networks

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控制理论与应用（英文版） 2011年第1期9卷 44-50页

作者： Weng, Yang Xiao, Wendong Xie, Lihua School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Institute for Infocomm Research Singapore 138632 Singapore School of Mathematics Sichuan University Chengdu Sichuan 610064 China

We consider the random field estimation problem with parametric trend in wireless sensor networks where the field can be described by unknown parameters to be estimated. Due to the limited resources, the network selects only a subset of the sensors to perform the estimation task with a desired performance under the D-optimal criterion. We propose a greedy sampling scheme to select the sensor nodes according to the information gain of the sensors. A distributed algorithm is also developed by consensus-based incremental sensor node selection through information quality computation for and message exchange among neighboring sensors. Simulation results show the good performance of the proposed algorithms.

关键词： Random field estimation Parametric trend Wireless sensor network sensor selection NP-completeness Distributed processing

sensor selection for received signal strength-based source localization in wireless sensor networks

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控制理论与应用（英文版） 2011年第1期9卷 51-57页

作者： Zhao, Bin Guan, Xinping Xie, Lihua Xiao, Wendong Key Laboratory of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao Hebei 066004 China School of Electronics Information and Electrical Shanghai Jiao Tong University Shanghai 200240 China School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore Institute for Infocomm Research Singapore 138632 Singapore

Generally, localization is a nonlinear problem, while linearization is used to simplify this problem. Reasonable approximations could be achieved when signal-to-noise ratio (SNR) is large enough. Energy is a critical resource in wireless sensor networks, and system lifetime needs to be prolonged through the use of energy efficient strategies during system operation. In this paper, a closed-form solution for received signal strength (RSS)-based source localization in wireless sensor network (WSN) is obtained. A sensor selection method is proposed to improve the localization accuracy as well as to save energy consumption. By selecting only a limited number of sensor nodes based on the model accuracy and geometry structure analysis, localization performance is improved, and energy consumption is reduced. In addition, extensive simulations are presented to demonstrate that the estimation performance with the proposed sensor selection method is better than that without sensor selection.

关键词： Received signal strength Source localization Closed-form solution sensor selection Geometry structure

A sensor selection Method for Nonlinear Localization in the Presence of sensor Errors

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A Sensor Selection Method for Nonlinear Localization in the ...

A sensor selection Algorithm with Improved Accuracy Constraint for Maneuvering Target Tracking

第40届中国控制会议

作者： Wen Ma Hongyan Zhu Faculty of Electronic and Information Engineering Xi’an Jiaotong University

This paper considers the localization problem of a mobile source based on time difference of arrival（TDOA）measurements and angle of arrival（AOA） measurements in the presence of random noises in both measurements and sensor location. We propose a sensor selection mechanism which aims to choose a subset of sensors to implement the multi-sensor passive localization. We use the covariance of the improved unscented Kalman filter（UKF） as a cost function where the dynamic model is augmented by incorporating the sensor positions into the state vector. Correspondingly, the number of sigma points in the improved UKF is also enlarged. Although the proposed method requires higher computational complexity, the selected subset achieves a better estimation performance in comparison with that of the linearization method EKF or classical UKF method which ignores the sensor position uncertainties. And the CEO（cross entropy optimization） is employed to solve the resulting complex combinatorial optimization model. Simulation experiments are conducted and simulation results demonstrate the efficiency of the proposed sensor selection scheme for multi-sensor passive localization.

关键词： Passive localization sensor selection Improved UKF Covariance CEO

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A Sensor Selection Algorithm with Improved Accuracy Constrai...

Evaluate the impact of sensor accuracy on model performance in data-driven building fault detection and diagnostics using Monte Carlo simulation

第37届中国控制会议

作者： Chenglin Qiao Yuantao Yu Ganlin Shan Xiusheng Duan Binbin Fan Yi Miao Ce Pang Shijiazhuang Campus Army Engineering University School of Automation Beijing Institute of Technology Institute of Information and Communication National University of Defense technology 73903 Army of PLA

To control the sensor system radiation risk and satisfy the maneuvering target tracking requirement, a sensor selection algorithm with improved accuracy constraint for maneuvering target tracking is proposed. Firstly, the posterior Cramr-Rao lower bound（PCRLB） is utilized to assess the tracking performance. Then multiple model PCRLB is presented to calculate the PCRLB of maneuvering target. Secondly, tracking accuracy is treated in a probabilistic manner in the improved accuracy constraint. Then the improved accuracy constraint can be converted to a deterministic constraint by the given desired tracking accuracy and probability. Finally, as the active sensor obtain the target measurement by emitting energy that can betray their existence and location, radiation control policy is presented to minimize the times of active sensor selection. Simulation results prove the effectiveness of the proposed algorithm.

关键词： sensor selection Radiation Risk Maneuvering Target Tracking PCRLB Improved Accuracy Constraint

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Building Simulation 2022年第5期15卷 769-778页

作者： Liang Zhang Matt Leach National Renewable Energy Laboratory 15013 Denver W PkwyGoldenCOUSA

The performance of data-driven fault detection and diagnostics(FDD)is heavily dependent on sensors.However,sensor inaccuracy and sensor faults are pervasive in building operation:inaccurate and missing sensor readings deteriorate FDD performance;sensor inaccuracy will also affect the selection of sensor for data-driven FDD in the model training process,which is another key factor of data-driven FDD performance.sensor accuracy and sensor selection individually are well-studied research topics in this field,but the impact of sensor accuracy on sensor selection and its further impact on FDD performance has not been evaluated and quantified.In this paper,we developed a novel analysis methodology that comprehensively evaluates sensor fault on sensor selection and FDD accuracy.Monte Carlo simulation is applied to deal with multiple stochastic sensor inaccuracy and provide probabilistic analysis results of the impact of sensor inaccuracy on sensor selection and FDD accuracy.This methodology focuses on the net impact of fault states across a full sensor set.The developed methodology can be used for the early-stage sensor design and operation-stage sensor maintenance.A case study is conducted to demonstrate the analysis methodology using a commercial building model crated to Flexible Research Platform located at Oak Ridge National Laboratory,USA.

关键词： fault detection and diagnostics sensor accuracy sensor fault sensor selection data-driven modeling Monte Carlo simulation

Remaining useful life estimation for deteriorating systems with time-varying operational conditions and condition-specific failure zones

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Chinese Journal of Aeronautics 2016年第3期29卷 662-674页

作者： Li Qi Gao Zhanbao Tang Diyin Li Baoan School of Automation Science and Electrical Engineering Beihang University

Dynamic time-varying operational conditions pose great challenge to the estimation of system remaining useful life （RUL） for the deteriorating systems. This paper presents a method based on probabilistic and stochastic approaches to estimate system RUL for periodically moni- tored degradation processes with dynamic time-varying operational conditions and condition- specific failure zones. The method assumes that the degradation rate is influenced by specific oper- ational condition and moreover, the transition between different operational conditions plays the most important role in affecting the degradation process. These operational conditioqs are assumed to evolve as a discrete-time Markov chain （DTMC）. The failure thresholds are also determined by specific operational conditions and described as different failure zones. The 2008 PHM Conference Challenge Data is utilized to illustrate our method, which contains mass sensory signals related to the degradation process of a commercial turbofan engine. The RUE estimation method using the sensor measurements of a single sensor was first developed, and then multiple vital sensors were selected through a particular optimization procedure in order to increase the prediction accuracy. The effectiveness and advantages of the proposed method are presented in a comparison with exist- ing methods for the same dataset.

关键词： Degradation Discrete-time Markov chainOperational conditions Remaining useful life esti-mation sensor selection