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Study of testability measurement method for equipment based on Bayesian network model

Journal of Systems Engineering and Electronics 2009年第5期20卷 1017-1023页

作者： Lian Guangyao Huang Kaoli Chen Jianhui Wei Zhonglin Ordnance Engineering Coll. Shijiazhuang 050003 P. R. China

To analyze and evaluate the testability design of equipment, a testability analysis method based on Bayesian network inference model is proposed in the paper. The model can adequately apply testability information and many uncertainty information of design and maintenance process, so it can analyze testability by and large from Bayesian inference. The detailed procedure to analyze and evaluate testability for equipments by Bayesian network is given in the paper. Its modeling process is simple, its formulation is visual, and the analysis results are more reliable than others. Examples prove that the analysis method based on Bayesian network inference can be applied to testability analysis and evaluation for complex equipments.

关键词： design for testability testability analysis and evaluation uncertainty information Bayesian network

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A web-based land surface remote sensing products validation system (LAPVAS): application to albedo product

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International Journal of Digital Earth 2018年第3期11卷 308-328页

作者： Xingwen Lin Jianguang Wen Yong Tang Mingguo Ma Dongqin You Baocheng Dou Xiaodan Wu Xiaobo Zhu Qing Xiao Qinghuo Liu State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingPeople’s Republic of China University of Chinese Academy of Sciences BeijingPeople’s Republic of China Joint Center for Global Change Studies BeijingPeople’s Republic of China School of Geographical Sciences Southwest UniversityChongqingPeople’s Republic of China College of Global Change and Earth System Science Beijing Normal UniversityBeijingPeople’s Republic of China

Quantitative remote sensing product(QRSP)validation is a complex process to assess the accuracy and uncertainty independently using reference data with multiple land cover types and long-time series.A web-based system named as LAnd surface remote sensing Product VAlidation system(LAPVAS)is described in this paper,which is used to implement the QRSPs validation process *** LAPAVS has two subsystems,the Validation Databases Subsystem and the Accuracy Evaluation *** functions have been implemented by the two subsystems for a comprehensive QRSP validation:(1)a standardized processing of reference data and storage of these data in validation databases;(2)a consistent and comprehensive validation procedure to assess the QRSPs’accuracy and uncertainty;and(3)a visual process customization tool with which the users can register new validation data,host new reference data,and readjust the validation workflows for the QRSP accuracy *** LAPVAS,more than 100 GB of reference data warehoused in validation databases for 13 types of QRSPs’*** of the key QRSPs,land surface albedo,is selected as an example to illustrate the application of *** is demonstrated that the LAPVAS has a good performance in the land surface remote sensing product validation.

关键词： Remote sensing validation system LAPVAS uncertainty information albedo

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