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A novel testability model for health management of heading attitude system

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Chinese Journal of Aeronautics 2013年第1期26卷 201-208页

作者： liu guanjun yang shuming qiu jing yang peng Laboratory of Science and Technology on Integrated Logistics Support College of Mechatronics Engineering and Automation National University of Defense Technology

Prognostics and health management （PHM） is very important to guarantee the reliability and safety of aerospace systems, and sensing and test are the precondition of PHM. Integrating design for testability into early design stage of system early design stage is deemed as a fundamental way to improve PHM performance, and testability model is the base of testability analysis and design. This paper discusses a hierarchical model-based approach to testability modeling and analysis for heading attitude system health management. Quantified directed graph, of which the nodes represent components and tests and the directed edges represent fault propagation paths, is used to describe fault-test dependency, and quantitative testability information is assigned to nodes and directed edges. The fault dependencies between nodes can be obtained by functional fault analysis methodology that captures the physical architecture and material flows such as energy, heat, data, and so on. By incorporating physics of failure models into component, the dynamic process of a failing or degrading component can be projected onto system behavior, i.e., system symptoms. Then, the analysis of extended failure modes, mechanisms and effects is utilized to construct fault evolution-test dependency. Using this integrated model, the designers and system analysts can assess the test suite＇s fault detectability, fault isolability and fault predictability. And heading attitude system application results show that the proposed model can support testability analysis and design for PHM very well.

关键词： Fault evolution Functional fault analysis Physics of failure model Prognostics and health management Quantified directed graph Testability analysis

Sensor Optimization Selection Model Based on Testability Constraint

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Chinese Journal of Aeronautics 2012年第2期25卷 262-268页

作者： yang shuming qiu jing liu guanjun Laboratory of Science and Technology on Integrated Logistics Support College of Mechatronics Engineering and AutomationNational University of Defense TechnologyChangsha 410073China

Sensor selection and optimization is one of the important parts in design for testability. To address the problems that the traditional sensor optimization selection model does not take the requirements of prognostics and health management especially fault prognostics for testability into account and does not consider the impacts of sensor actual attributes on fault detectability, a novel sensor optimization selection model is proposed. Firstly, a universal architecture for sensor selection and optimization is provided. Secondly, a new testability index named fault predictable rate is defined to describe fault prognostics requirements for testability. Thirdly, a sensor selection and optimization model for prognostics and health management is constructed, which takes sensor cost as objective function and the defined testability indexes as constraint conditions. Due to NP-hard property of the model, a generic algorithm is designed to obtain the optimal solution. At last, a case study is presented to demonstrate the sensor selection approach for a stable tracking servo platform. The application results and comparison analysis show the proposed model and algorithm are effective and feasible. This approach can be used to select sensors for prognostics and health management of any system.

关键词： prognostics and health management design for testability fault predictable rate sensor selection and optimization generic algorithm

A Fault Sample Simulation Approach for Virtual Testability Demonstration Test

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Chinese Journal of Aeronautics 2012年第4期25卷 598-604页

作者： ZHANG Yong qiu jing liu guanjun yang peng Laboratory of Science and Technology on Integrated Logistics Support College of Meehatronies Engineering and AutomationNational University of Defense TechnologyChangsha 410073China

Virtual testability demonstration test has many advantages,such as low cost,high efficiency,low risk and few *** brings new requirements to the fault sample generation.A fault sample simulation approach for virtual testability demonstration test based on stochastic process theory is ***,the similarities and differences of fault sample generation between physical testability demonstration test and virtual testability demonstration test are ***,it is pointed out that the fault occurrence process subject to perfect repair is renewal ***,the interarrival time distribution function of the next fault event is *** and flowcharts of fault sample generation are *** number of faults and their occurrence time are obtained by statistical ***,experiments are carried out on a stable tracking *** a variety of types of life distributions and maintenance modes are considered and some assumptions are removed,the sample size and structure of fault sample simulation results are more similar to the actual results and more *** proposed method can effectively guide the fault injection in virtual testability demonstration test.

关键词： fault sample testability demonstration virtual testability test stochastic process statistical simulation Monte Carlo maintenance

A novel approach of testability modeling and analysis for PHM systems based on failure evolution mechanism

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Chinese Journal of Aeronautics 2013年第3期26卷 766-776页

作者： Tan Xiaodong qiu jing liu guanjun Lv Kehong yang shuming Wang Chao Laboratory of Science and Technology on Integrated Logistics Support College of Mechatronics and Automation National University of Defense Technology

Prognostics and health management （PHM） significantly improves system availability and reliability, and reduces the cost of system operations. Design for testability （DFT） developed concurrently with system design is an important way to improve PHM capability. Testability modeling and analysis are the foundation of DFT. This paper proposes a novel approach of testability modeling and analysis based on failure evolution mechanisms. At the component level, the fault progression-related information of each unit under test （UUT） in a system is obtained by means of failure modes, evolution mechanisms, effects and criticality analysis （FMEMECA）, and then the failure-symptom dependency can be generated. At the system level, the dynamic attributes of UUTs are assigned by using the bond graph methodology, and then the symptom-test dependency can be obtained by means of the functional flow method. Based on the failure-symptom and symptom-test dependencies, testability analysis for PHM systems can be realized. A shunt motor is used to verify the application of the approach proposed in this paper. Experimental results show that this approach is able to be applied to testability modeling and analysis for PHM systems very well, and the analysis results can provide a guide for engineers to design for testability in order to improve PHM performance.

关键词： Design for testability Failure evolution mechanism Failure-symptom dependency Prognostics and health management Symptom-test dependency Testability modeling and analysis Unit under test

Underwater Positioning Based on an Artificial Lateral Line and a Generalized Regression Neural Network

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Journal of Bionic Engineering 2018年第5期15卷 883-893页

作者： Xiande Zheng Yong Zhang Mingjiang Ji Ying liu Xin Lin jing qiu guanjun liu Science and Technology on Integrated Logistics Support Laboratory National University of Defense Technology Changsha 410073 China College of Intelligence Science National University of Defense Technology Changsha 410073 China

Taking advantage of the lateral line organ, fish can navigate, feed, and avoid predators and obstacles by sensing surrounding flow fields. The lateral line organ provides an important reference for the development of new underwater detection technology. Inspired by the lateral line organ, in this paper, for the sake of localizing the target dipole source in three-dimensional underwater space, an artificial lateral line consisting of nine underwater pressure sensors forming a cross-shaped sensor array is applied. Combined with the method of gener- alized regression neural network, which is suitable for solving nonlinear pattern recognition problems, a corresponding experimental platform has been built to sample data for training the neural network from a 12 cm by 12 cm by 24 cm cuboid space. The experimental results indicate that the cross-shaped artificial lateral line can localize the target dipole source two body-lengths away. The well- performing perceptual distance is below 13 cm away from the sensing array. Moreover, decreasing the data sampling interval and in- creasing the number of sensors utilized can help improve the positioning accuracy.

关键词： lateral line underwater positioning generalized regression neural network bionics

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面向装备健康管理的可测性指标研究

国防科技大学学报 2012年第1期34卷 72-77页

作者：杨述明邱静刘冠军杨鹏国防科技大学装备综合保障技术重点实验室湖南长沙410073

可测性指标是开展可测性设计、验证和评估的依据。针对传统可测性指标主要用于故障可检测性和故障可隔离性水平评价,不能全面反映面向装备健康管理可测性水平的问题,在定性分析装备健康管理对可测性的本质需求基础上,从全域和瞬态角度... 详细信息

可测性指标是开展可测性设计、验证和评估的依据。针对传统可测性指标主要用于故障可检测性和故障可隔离性水平评价,不能全面反映面向装备健康管理可测性水平的问题,在定性分析装备健康管理对可测性的本质需求基础上,从全域和瞬态角度提出了五个可测性指标以定量描述面向装备健康管理的可测性水平;并基于故障模式状态矢量给出了可测性指标的分析计算流程。最后以某装备柴油机的机体子系统为案例详细说明了可测性指标的计算过程,应用结果表明所提指标具有一定的可行性和合理性,可以有效指导面向装备健康管理的可测性优化设计。

关键词：可测性指标装备健康管理需求分析故障模式状态矢量分析计算流程

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测试不可靠条件下的诊断策略优化方法

仪器仪表学报 2008年第4期29卷 850-854页

作者：杨鹏邱静刘冠军国防科技大学机电工程与自动化学院长沙410073

提出了一种测试结果不可靠条件下的诊断策略优化生成方法。首先将描述测试可靠性的参数(检测概率和虚警概率)转换为误诊代价,将其与基于霍夫曼编码的测试费用评估函数相结合,构建了一种既考虑测试费用又考虑诊断精度的启发式评估函数,... 详细信息

提出了一种测试结果不可靠条件下的诊断策略优化生成方法。首先将描述测试可靠性的参数(检测概率和虚警概率)转换为误诊代价,将其与基于霍夫曼编码的测试费用评估函数相结合,构建了一种既考虑测试费用又考虑诊断精度的启发式评估函数,然后基于该启发式评估函数提出了一种不确定AO*算法。为了有效评估诊断策略的诊断精度,提出了一种测试性参数预计方法。最后应用案例验证了本方法,测试性预计结果表明本方法实现了诊断精度和测试费用的权衡。

关键词：测试性设计诊断策略测试序列不确定AO^*算法霍夫曼编码测试性预计

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反馈回路系统诊断策略优化技术研究

振动．测试与诊断 2009年第1期29卷 31-35页

作者：杨鹏邱静刘冠军国防科技大学机电工程与自动化学院长沙410073

针对复杂反馈回路系统的故障诊断问题,提出了一种诊断策略自适应优化生成方法。首先对已有的回路搜索算法进行改进,提出了一种可以快速搜索系统全部反馈回路的算法,然后针对不同情形提出了3种中断回路的策略,在此基础上,提出了诊断策略... 详细信息

针对复杂反馈回路系统的故障诊断问题,提出了一种诊断策略自适应优化生成方法。首先对已有的回路搜索算法进行改进,提出了一种可以快速搜索系统全部反馈回路的算法,然后针对不同情形提出了3种中断回路的策略,在此基础上,提出了诊断策略优化生成算法。该算法以信息增益作为测试排序的启发函数,通过迭代计算得到近似最优的诊断策略。最后给出了主要步骤,并通过实例进行了验证。计算结果表明,该方法可以有效解决复杂反馈回路系统的故障诊断问题。

关键词：系统级诊断诊断策略反馈回路启发函数

面向测试性虚拟验证的功能-故障-行为-测试-环境一体化模型

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航空学报 2012年第2期33卷 273-286页

作者：张勇邱静刘冠军杨鹏国防科学技术大学机电工程与自动化学院装备综合保障技术重点实验室湖南长沙410073

由于测试性预计和测试性试验验证客观存在的困难及问题,测试性虚拟验证将在测试性工程领域发挥重要作用。根据测试性虚拟验证对模型的需求,针对传统测试性模型存在的定量特征少、导致测试性评估结果不准确等问题,提出一种功能-故障-行为... 详细信息

由于测试性预计和测试性试验验证客观存在的困难及问题,测试性虚拟验证将在测试性工程领域发挥重要作用。根据测试性虚拟验证对模型的需求,针对传统测试性模型存在的定量特征少、导致测试性评估结果不准确等问题,提出一种功能-故障-行为-测试-环境一体化模型。首先,分析并指出该一体化模型由功能、故障、行为、测试、环境5大类要素构成。然后,在数学上对该一体化模型及其子模型进行定义和描述,分析并建立各子模型之间的关联关系。最后以某导弹及其测试系统为案例进行实验和应用研究。结果表明,在建模信息量充足的情况下,基于该一体化模型得到的测试性虚拟试验验证与评估结果较准确,能较好地支持装备测试性摸底、鉴定与验收等。

关键词：测试性测试性模型测试性工程测试性验证 FFBTEM