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Uncertain process-based data integration and residual lifetime evaluation of PCB in airborne equipment with ADT and field data

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Chinese Journal of Aeronautics 2024年第8期37卷 233-245页

作者： Yu WANG Rui KANG Linhan GUO Xiaoyang LI Zhe LIU Xiaohui WANG Weifang ZHANG Schoool of Reliability and Systems Engineering Beihang UniversityBeijing 100191China

Accurately evaluating the lifespan of the Printed Circuit Board(PCB)in airborne equipment is an essential issue for aircraft design and operation in the marine atmospheric *** paper presents a novel evaluation method by fusing Accelerated Degradation Testing(ADT)data,degradation data,and life data of small samples based on the uncertainty degradation *** uncertain life model of PCB in airborne equipment is constructed by employing the uncertain distribution that considers the accelerated factor of multiple environmental conditions such as temperature,humidity,and *** addition,a degradation process model of PCB in airborne equipment is constructed by employing the uncertain process of fusing ADT data and field data,in which the performance characteristics of dynamic cumulative change are *** on minimizing the pth sample moments,an integrated method for parameter estimation of the PCB in airborne equipment is proposed by fusing the multi-source data of life,degradation,and *** engineering case illustrates the effectiveness and advantage of the proposed method.

关键词： Printed circuit board Degradation Data integration Field environment Accelerated degradation testing parameter estimate

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Extended ambiguity function for bistatic MIMO radar

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Journal of Systems Engineering and Electronics 2012年第2期23卷 195-200页

作者： Haowen Chen Yiping Chen Zhaocheng Yang Xiang Li Institute of Space Electronic Information Technology School of Electronic Science and EngineeringNational University of Defense TechnologyChangsha 410073P.R.China

This paper derives the extended ambiguity function for a bistatic multiple-input multiple-output （MIMO） radar system, which includes the whole radar system parameters： geometric sensor configuration, waveforms, range, range rate, target scattering and noise characteristics. Recent research indicates the potential pa- rameter estimate performance of bistatic MIMO radars. And this ambiguity function can be used to analyze the parameter estimate performance for the relationship with the Cramer-Rao bounds of the estimated parameters. Finally, some examples are given to demonstrate the good parameter estimate performance of the bistatic MIMO radar, using the quasi-orthogonal waveforms based on Lorenz chaotic systems.

关键词： bistatic multiple-input multiple-output (MIMO) radar ambiguity function parameter estimate Cramer-Rao bound (CRB) quasi-orthogonal waveforms.

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estimate ACCURACY OF NONLINEAR COEFFICIENTS OF SQUEEZEFILM DAMPER USING STATE VARIABLE FILTER METHOD

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Chinese Journal of Mechanical Engineering 1998年第3期11卷 13-19页

作者： Zhang, Youyun Roberts, J.B. Xian Jiaotong Univ Xian China

The estimate model for a nonlinear system of squeeze film damper (SFD) is *** method of state variable filter (SVF) is used to estimate the coefficients of *** factors which are critical to the estimate accuracy are ... 详细信息

关键词： Nonlinear coefficient Squeeze film State variable filter parameter estimate

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AN ADAPTIVE OPTIMAL KALMAN FILTER FOR STOCHASTIC VIBRATION CONTROL SYSTEM WITH UNKNOWN NOISE VARIANCES

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Acta Mechanica Solida Sinica 2000年第1期13卷 89-94页

作者： Li Shu Zhuo Jiashou Ren Qingwen Institue of Aircraft Design Bejing University of Aeronautics&AstronauticsBejing 100083China Institute of Civil Engineering Hohai UnizersityNanjing 210098China

In this paper, an optimal criterion is presented for adaptive Kalman filter in a control system with unknown variances of stochastic vibration by constructing a function of noise variances and minimizing the function. We solve the model and measure variances by using DFP optimal method to guarantee the results of Kalman filter to be optimized. Finally, the control of vibration can be implemented by LQG method.

关键词： vibration control Kalman filter white noise parameter estimate

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Convergence Analysis of parameter Estimation in System Identification

Convergence Analysis of Parameter Estimation in System Ident...

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第25届中国控制与决策会议

作者： Yan Zhibin Chen Caiyun Natural Science Research Center Harbin Institute of Technology

ISBN: (纸本)9781467355339

For linear time-invariant system model, this paper analyzes the convergence of parameter estimations as the length of the input-output data tends to infinity through prediction error method. It is known that the sequence of the prediction errors, called criterion functions, converges uniformly in the parameter with probability one as the data length tends to infinity. Given an input-output data of fixed length, the parameter estimation is represented by a set in general, instead of by a single point, on which the criterion function takes its minimum. Thus a mathematical feature of the convergence problem of parameter estimation is in that we are needed, from the convergence of a sequence of functions, to infer the convergence of the sequence of their sets of minimizing arguments. The Hausdorff metric, as a rational due tool, is suggested to measure the distance between sets and then is used to discuss the convergence problem here. We show that, according to Hausdorff metric, the convergence of parameter estimation can not be guaranteed in general, and give some conditions to guarantee.

关键词： system identification parameter estimate prediction error method Hausdorff metric

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Step Empirical Uncertainty Distribution and its Applications

Step Empirical Uncertainty Distribution and its Applications

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The Eleventh International Conference on Information and Management Sciences(IMS2012) in Celebrating of the 60th Birthday of Prof.Shu-Cherng Fang

作者： Chunxia Xu Zhichao Gao College of Science Hebei University of Engineering Handan 056038 China

＜正＞Uncertain statistics is a methodology for collecting and interpreting expert’s experimental data by uncertainty theory. Firstly,based on experts’ experimental data,this paper defines a step empirical uncertainty ***,empirical mean,empirical variance and the kth empirical moment are ***,this paper presents a method of moments to estimate the unknown parameters of uncertainty distribution.

关键词： uncertain measure uncertainty distribution parameter estimate

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