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A new interpretable fault diagnosis method based on belief rule base and probability table

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Chinese Journal of Aeronautics 2023年第3期36卷 184-201页

作者： Zhichao MING Zhijie ZHOU You CAO shuaiwen tang Yuan CHEN Xiaoxia HAN Wei HE High-Tech Institute of Xi’an Xi’an 710025China School of Computer Science and Information Engineering Harbin Normal UniversityHarbin 150025China

It is vital to establish an interpretable fault diagnosis model for critical *** Rule Base(BRB)is an interpretable expert system gradually applied in fault ***,the expert knowledge cannot be utilized to establish the initial BRB accurately if there are multiple referential grades in different fault *** addition,the interpretability of BRB-based fault diagnosis is destroyed in the optimization process,which reflects in two aspects:deviation from the initial expert judgment and over-optimization of *** solve these problems,a new interpretable fault diagnosis model based on BRB and probability table,called the BRB-P,is proposed in this *** with the traditional BRB,the BRB-P constructed by the probability table is more ***,the interpretability constraints,i.e.,the credibility of expert knowledge,the penalty factor and the rule-activation factor,are inserted into the projection covariance matrix adaption evolution strategy to maintain the interpretability of BRB-P.A case study of the aerospace relay is conducted to verify the effectiveness of the proposed method.

关键词： Aerospace relay Belief rule base Expert knowledge Fault diagnosis Interpretability constraints

On the evidential reasoning rule for dependent evidence combination

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Chinese Journal of Aeronautics 2023年第5期36卷 306-327页

作者： Peng ZHANG Zhijie ZHOU shuaiwen tang Jie WANG Guanyu HU Dao ZHAO You CAO Rocket Force University of Engineering Xi’an 710025China State Key Laboratory of Astronautic Dynamics Xi’an Satellite Control CenterXi’an 710043China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic TechnologyGuilin 541004China

Evidential Reasoning(ER)rule,which can combine multiple pieces of independent evidence conjunctively,is widely applied in multiple attribute decision ***,the assumption of independence among evidence is often not satisfied,resulting in ER rule *** this paper,an Evidential Reasoning rule for Dependent Evidence combination(ERr-DE)is ***,the aggregation sequence of multiple pieces of evidence is determined according to evidence *** this basis,a calculation method of evidence Relative Total Dependence Coefficient(RTDC)is proposed using the distance correlation ***,as a discounting factor,RTDC is introduced into the ER rule framework,and the ERr-DE model is *** aggregation process of two pieces of dependent evidence by ERr-DE is investigated,which is then generalized to aggregate multiple pieces of non-independent ***,sensitivity analysis is carried out to investigate the relationship between the model output and the *** properties of sensitivity coefficient are explored and mathematically *** conjunctive probabilistic reasoning process of ERr-DE and the properties of sensitivity coefficient are verified by two numerical examples ***,the practical application of the ERr-DE is validated by a case study on the performance assessment of satellite turntable system.

关键词： Evidential reasoning rule Dependent evidence Relative total dependence coefficient Aggregation sequence Performance assessment

A Novel Belief Rule-Based Fault Diagnosis Method with Interpretability

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1165-1185页

作者： Zhijie Zhou Zhichao Ming Jie Wang shuaiwen tang You Cao Xiaoxia Han Gang Xiang Rocket Force University of Engineering Xi’an710025China School of Automation Science and Electrical Engineering Beihang UniversityBeijing100191China Beijing Aerospace Automatic Control Institute Beijing100070China

Fault diagnosis plays an irreplaceable role in the normal operation of equipment.A fault diagnosis model is often required to be interpretable for increasing the trust between humans and the *** to the understandable knowledge expression and transparent reasoning process,the belief rule base(BRB)has extensive applications as an interpretable expert system in fault *** is an effective means to weaken the subjectivity of experts in BRB,where the interpretability of BRB may be ***,to obtain a credible result,the weakening factors of interpretability in the BRB-based fault diagnosis model are firstly analyzed,which are manifested in deviation from the initial judgement of experts and over-optimization of *** these two factors,three indexes are proposed,namely the consistency index of rules,consistency index of the rule base and over-optimization index,tomeasure the interpretability of the *** both the accuracy and interpretability of amodel,an improved coordinate ascent(I-CA)algorithmis proposed to fine-tune the parameters of the fault diagnosis model based on *** I-CA,the algorithm combined with the advance and retreat method and the golden section method is employed to be one-dimensional search ***,the random optimization sequence and adaptive step size are proposed to improve the accuracy of the ***,a case study of fault diagnosis in aerospace relays based on BRB is carried out to verify the effectiveness of the proposed method.

关键词： Fault diagnosis belief rule base interpretability weakening factors improved coordinate ascent

New health-state assessment model based on belief rule base with interpretability

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Science China(Information Sciences) 2021年第7期64卷 209-223页

作者： Zhijie ZHOU You CAO Guanyu HU Youmin ZHANG shuaiwen tang Yuan CHEN High-Tech Institute of Xi'an Department of Information and Control Engineering Xi'an University of Technology School of Computer Science and Information Security Guilin University of Electronic Technology Department of Mechanical Industrial and Aerospace Engineering Concordia University

Health-state assessment is the foundation of optimal-maintenance decision-making for complex systems to maintain reliability and safety. Generating the assessment results in a convincing and interpretable way to avoid potential risks is of great importance. Belief rule base(BRB) as an interpretable model performs well in health-state assessment. However, the interpretability of a BRB-based model may be lost during the optimization process, which is expressed mainly as three problems: expert knowledge is not effectively used in the optimization process; the optimized rules of BRB may be in conflict with real systems; and some parameters get over-optimized, which may affect experts’ initial judgment. Three concepts — "searching intensity", "interpretability constraint of belief distribution", and "rule-activation factor" — are defined to address these problems. Using these concepts, we propose a new health-state assessment model based on the interpretable BRB and a new optimization method to improve the accuracy and preserve the interpretability of the new model. To demonstrate the effectiveness of the proposed model, we conducted an aero-engine case study.

关键词： health-state assessment belief rule base interpretability complex systems

考虑扰动的无人机集群协同态势感知一致性评估

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航空学报 2020年第S02期41卷 13-23页

作者：唐帅文周志杰姜江曹友陈媛叶燕清火箭军工程大学导弹工程学院西安710025 国防科技大学系统工程学院长沙410073

无人机(UAV)集群协同态势感知(SA)一致性是无人机集群协同作战的关键,对一致性进行评估至关重要。针对态势感知过程中面临的强不确定性等问题,在一致性评估指标体系的基础上,提出了基于证据推理规则的态势感知一致性评估方法,将各类指... 详细信息

无人机(UAV)集群协同态势感知(SA)一致性是无人机集群协同作战的关键,对一致性进行评估至关重要。针对态势感知过程中面临的强不确定性等问题,在一致性评估指标体系的基础上,提出了基于证据推理规则的态势感知一致性评估方法,将各类指标信息统一至置信结构,并充分考虑指标的权重与可靠度。采用扰动分析法对复杂战场环境进行模拟,提出考虑扰动的态势感知一致性评估方法,并对算法进行了总结。最后,通过仿真算例和对比研究验证了所提方法在不确定性表达、一致性评估和无人机集群的环境适应性研究等方面的有效性。

关键词：无人机集群态势感知一致性评估证据推理规则扰动分析

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一种融合专家知识和监测数据的水质预测模型

浙江工业大学学报 2021年第5期49卷 569-576页

作者：韩晓霞陈媛胡冠宇唐帅文火箭军工程大学作战保障学院陕西西安710025 火箭军工程大学导弹工程学院陕西西安710025 桂林电子科技大学计算机科学与信息安全学院广西桂林541004

为了解决目前水质预测中未考虑局部无知性这一问题,提出一种基于幂集置信规则库(Belief rule base with power set,PBRB)的水质预测模型。该模型能够有效融合专家知识与定量数据,并能在描述多种不确定性的同时,将传统的辨识框架扩展到幂... 详细信息

为了解决目前水质预测中未考虑局部无知性这一问题,提出一种基于幂集置信规则库(Belief rule base with power set,PBRB)的水质预测模型。该模型能够有效融合专家知识与定量数据,并能在描述多种不确定性的同时,将传统的辨识框架扩展到幂集,使其能够很好地表达无知性从而提高水质预测精度。此外,利用协方差矩阵自适应进化策略(Covariance matrix adaptive evolution strategy,CMA-ES)算法对PBRB模型进行优化。仿真结果表明:PBRB模型能准确预测一段时间内水质变化趋势,预测精度高于其他传统方法。

关键词：水质预测置信规则库 CMA-ES算法幂集

禽腺病毒4型Fiber-2蛋白单克隆抗体的制备及双抗体夹心ELISA检测方法的建立

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畜牧与兽医 2024年第6期56卷 101-109页

作者：刘文健王帅雯吉梅刘萌汤智辉张硕宋素泉闫丽萍南京农业大学动物医学院江苏南京210095 中海生物制药(泰州)有限公司江苏泰州225316

旨在制备禽腺病毒4型(FAdV-4)Fiber-2蛋白的单克隆抗体并建立Fiber-2蛋白的定量检测方法。本研究将原核表达的Fiber-2蛋白免疫BALB/c雌鼠,通过细胞融合技术制备杂交瘤细胞,并通过免疫印迹、间接免疫荧光和抗体相加试验筛选杂交瘤细胞株... 详细信息

旨在制备禽腺病毒4型(FAdV-4)Fiber-2蛋白的单克隆抗体并建立Fiber-2蛋白的定量检测方法。本研究将原核表达的Fiber-2蛋白免疫BALB/c雌鼠,通过细胞融合技术制备杂交瘤细胞,并通过免疫印迹、间接免疫荧光和抗体相加试验筛选杂交瘤细胞株;以制备的单克隆抗体为捕获抗体和酶标检测抗体,通过优化捕获抗体包被浓度和酶标抗体稀释度等条件,建立特异性检测Fiber-2蛋白的双抗体夹心ELISA方法。结果:本研究成功筛选到3株能够稳定传代的杂交瘤细胞株1H2、2A9和3E1,其分泌的抗体均与FAdV-4全病毒具有良好的反应性,可识别不同抗原表位;进一步发现,以1H2为捕获抗体、2A9为酶标检测抗体,能够建立检测Fiber-2蛋白的ELISA方法;该方法具有良好的重复性,批内重复及批间重复试验变异系数均小于10%;敏感性高,Fiber-2蛋白检测限为0.078 ng/μL;特异性好,不与FAdV-4的其他结构蛋白及鸭腺病毒3型的Fiber-2蛋白发生反应。综上,本研究成功制备了3株Fiber-2蛋白单克隆抗体,并建立了定量检测Fiber-2蛋白的双抗体夹心ELISA方法,为后续FAdV-4基础研究和Fiber-2亚单位疫苗研究奠定了物质基础。

关键词：禽腺病毒血清4型单克隆抗体双抗体夹心ELISA

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融合多元信息的武器装备性能评估方法

系统工程与电子技术 2020年第7期42卷 1527-1533页

作者：陈雷雨周志杰唐帅文曹友火箭军工程大学导弹工程学院陕西西安710025

针对武器装备结构层次复杂、评估指标多元等问题,采用一种融合多元信息的性能评估方法对武器装备性能进行评估。该方法考虑装备指标信息的可靠度和权重,构建了多层评估指标体系。基于证据推理规则将多元信息进行融合,得到装备性能评估结... 详细信息

针对武器装备结构层次复杂、评估指标多元等问题,采用一种融合多元信息的性能评估方法对武器装备性能进行评估。该方法考虑装备指标信息的可靠度和权重,构建了多层评估指标体系。基于证据推理规则将多元信息进行融合,得到装备性能评估结果,从而为解决装备性能评估问题提供决策依据。最后,对某型装备中激光惯性组合(inertial measurement unit,IMU)的性能进行评估,验证了所提方法的有效性。

关键词：多元信息武器装备性能评估证据推理激光惯性组合

实习前期护生实习压力、应对方式、心理健康现状及相关性研究

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卫生职业教育 2023年第6期41卷 139-143页

作者：吴卓楠王梦晶韩凯业成亚男金帅雯唐争艳西安医学院陕西西安710016

采用一般情况问卷、护生实习压力量表、简易应对方式量表、PHQ-9抑郁症筛查量表和GAD-7焦虑筛查量表对267名即将实习的大三护生进行调查,以描述实习前期护生的实习压力程度、应对方式和心理健康现状,探讨三者相互影响机制,为今后的研究... 详细信息

采用一般情况问卷、护生实习压力量表、简易应对方式量表、PHQ-9抑郁症筛查量表和GAD-7焦虑筛查量表对267名即将实习的大三护生进行调查,以描述实习前期护生的实习压力程度、应对方式和心理健康现状,探讨三者相互影响机制,为今后的研究提供依据。研究表明,实习前期护生实习压力和应对方式对其焦虑和抑郁有预测作用。

关键词：实习压力应对方式心理健康实习前期