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Joint optimization of inspection-based and age-based preventive maintenance and spare ordering policies for single-unit systems

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Journal of Systems Engineering and Electronics 2022年第5期33卷 1268-1280页

作者： MA Weining ZHAO Fei LI Xin HU Qiwei SHANG Bingcong department of equipment command and management shijiazhuang campus Army Engineering UniversityShijiazhuang 050003China School of Business Administration Northeastern UniversityShenyang 110057China Northeastern University at Qinhuangdao Qinhuangdao 066099China

This paper presents a joint optimization policy of preventive maintenance(PM)and spare ordering for single-unit systems,which deteriorate subject to the delay-time concept with three deterioration *** activities that combine a non-periodic inspection scheme with age-replacement are *** the system is detected to be in the minor defective stage by an inspection for the first time,place an order and shorten the inspection *** the system has deteriorated to a severe defective stage,it is either repaired imperfectly or replaced by a new ***,an immediate replacement is required once the system fails,the maximal number of imperfect maintenance(IPM)is satisfied or its age reaches to a pre-specified *** consideration of the spare’s availability as needed,there are three types of decisions,i.e.,an immediate or a delayed replacement by a regular ordered spare,an immediate replacement by an expedited ordered spare with a relative higher ***,some mutually independent and exclusive renewal events at the end of a renewal cycle are discussed,and the optimization model of such a joint policy is further developed by minimizing the long-run expected cost rate to find the optimal inspection and age-replacement intervals,and the maximum number of IPM.A Monte-Carlo based integration method is also designed to solve the proposed ***,a numerical example is given to illustrate the proposed joint optimization policy and the performance of the Monte-Carlo based integration method.

关键词： maintenance optimization imperfect maintenance(IPM) three-stage failure process spare ordering

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Clustering-based maintainability demonstration for complex systems with a mixed maintenance time distribution

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Journal of Systems Engineering and Electronics 2019年第6期30卷 1260-1271页

作者： WU Zhenya HAO Jianping department of equipment command and management Shijiazhuang Campus of Army Engineering University

During maintainability demonstration,the maintenance time for complex systems consisting of mixed technologies generally conforms to a mixture *** existing maintainability standards and guidance do not explain explicitly how to deal with this *** paper develops a comprehensive maintainability demonstration method for complex systems with a mixed maintenance time *** of all,a K-means algorithm and an expectation-maximization(EM)algorithm are used to partition the maintenance time data for all possible *** Bayesian information criterion(BIC)is then used to choose the optimal *** this,the clustering results for equipment are obtained according to their degree of *** degree of similarity for the maintainability of different kinds of equipment is then determined using the projection *** using a Bootstrap method,the prior distribution is obtained from the maintenance time data for the most similar ***,a test method based on Bayesian theory is outlined for the maintainability ***,the viability of the proposed approach is illustrated by means of an example.

关键词： complex system maintainability demonstration mix ture distribution model Bayesian test.

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Warhead power assessment based on double hierarchy hesitant fuzzy linguistic term sets theory and gained and lost dominance score method

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Chinese Journal of Aeronautics 2022年第4期35卷 362-375页

作者： Tianle YAO Weili WANG Run MIAO Qiwei HU Jun DONG Xuefei YAN Ordnance Engineering College Naval University of EngineeringWuhan 430000China department of equipment command and management Army Engineering UniversityShijiazhuang 050003China Xi'an Modern Chemistry Research Institute Xi'an 710065China Institute of Systems Engineering Academy of Military ScienceBeijing 100082China

Warhead power assessment of the anti-ship missile plays a vital role in determining the optimal design of missile, thus having important strategic research significance. However, in the assessment process, expert’s judgement will directly affect the assessment accuracy. In addition,there are many criteria involved in the missile design alternatives. Some criteria with poor performance may be compensated by other criteria with excellent performance, and then it is impossible to find the truly optimal alternative. Aimed at solving these problems, this paper proposes a synthetical assessment process based on fuzzy hesitant linguistic term set and the Gained and Lost Dominance Score(GLDS) method. In order to improve the assessment accuracy of experts and solve the problem that experts generate different opinions, combined with the advantages of fuzzy hesitant sets and linguistic term sets, the double hierarchy hesitant fuzzy linguistic term sets are used in this paper to improve the accuracy of expert’s judgement. In order to effectively combine expert’s experience with the data of criteria, the evidence theory and entropy weight method are used to transfer the expert’s judgement to the weight. In order to avoid selecting defective alternative of missile design, the GLDS is used to fuse expert information and criteria information. Sensitivity analysis shows that the assessment process has sensitivity to some extent. However, when the fluctuation of expert’s assessment makes the fluctuation of θ in the range of-5% to 5%, the impact on the results is not quite conspicuous. The analysis of calculation result and comparative analysis show that the assessment process proposed in this paper is accurate enough, has great advantage in selecting the current and potential optimal alternative of missile design, and avoids the alternatives with low criteria performance that cannot be compensated by other criteria being selected.

关键词： Evidence theory Fuzzy hesitant linguistic term set Gained and lost dominance score method Optimal alternative of warhead design Warhead power assessment

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Synthetic damage effect assessment through evidential reasoning approach and neural fuzzy inference:Application in ship target

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Chinese Journal of Aeronautics 2022年第8期35卷 143-157页

作者： Tianle YAO Run MIAO Weili WANG Zhirong LI Jun DONG Yajuan GU Xuefei YAN Ordnance Engineering College Naval University of EngineeringWuhan 430000China Xi’an Modern Chemistry Research Institute Xi'an 710065China department of equipment command and management Army Engineering UniversityShijiazhuang 050003China Institute of Systems Engineering Academy of Military ScienceBeijing 100082China

The damage effect assessment of anti-ship missiles combines system science and weapon science,which can provide reference for the assessment of battlefield damage *** order to solve the difficulty of heterogeneous data aggregation and the difficulty in constructing the mapping between factors and damage effect,this paper analyzes the specific damage process of the anti-ship missile to the ship,and proposes a synthetic Evidential Reasoning(ER)–Adaptive Neural Fuzzy Inference System(ANFIS)to assess the damage *** solve the problem of fuzziness and uncertainty of criteria in the assessment process,the belief structure model is used to transform qualitative and quantitative information into a unified mathematical structure,and ER algorithm is used to fuse the information of lower-level *** order to solve the problem of fuzziness and uncertainty of the information contained in the first-level variables,and the strong non-linear characteristics of the mapping between first-level variables and damage effect,the ANFIS with selfadaptation and self-learning is *** map between the three first-level variables and damage effect is established,and the interaction process of the various factors in the damage effect assessment are *** analysis shows that assessment model has good *** result analysis and comparative analysis show that the process proposed in this paper can effectively assess the damage effect of anti-ship missiles,and all criteria data are objective and comparable.

关键词： ANFIS Belief structure model Damage effect assessment ER approach Ship target

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Game Theory Based Sensor management in Reducing Target Threat Level Assessment Risk

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Journal of Shanghai Jiaotong university(Science) 2022年第5期27卷 649-659页

作者： PANG Ce SHAN Ganlin department of Electronic and Optical Engineering Army Engineering University Shijiazhuang CampusShijiazhuang050003China

Sensor management schemes are calculated to reduce target threat level assessment risk in this *** Markov model and risk theory are combined to build the target threat level model *** the target threat level estimation risk is *** the sensor management schemes are optimized with the smallest target threat level assessment ***’s more,the game theory is applied to calculate the optimal sensor management *** simulations are conducted to prove that the proposed sensor management method is effective.

关键词： target threat level assessment sensor management hidden Markov model risk theory game theory

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Bayesian inference for ammunition demand based on Gompertz distribution

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Journal of Systems Engineering and Electronics 2020年第3期31卷 567-577页

作者： ZHAO Rudong SHI Xianming WANG Qian SU Xiaobo SONG Xing department of equipment command and management Shijiazhuang CampusArmy Engineering UniversityShijiazhuang 050003China Unit 73127 of the PLA Fuzhou 350503China The Ninth Comprehensive Training Base of Army Zhangjiakou 075000China Army Infantry College of the PLA Shijiazhuang 050003China Unit 68303 of the PLA Golmud 816000China

Aiming at the problem that the consumption data of new ammunition is less and the demand is difficult to predict,combined with the law of ammunition consumption under different damage grades,a Bayesian inference method for ammunition demand based on Gompertz distribution is *** Bayesian inference model based on Gompertz distribution is constructed,and the system contribution degree is introduced to determine the weight of the multi-source *** the case where the prior distribution is known and the distribution of the field data is unknown,the consistency test is performed on the prior information,and the consistency test problem is transformed into the goodness of the fit test *** the Bayesian inference is solved by the Markov chain-Monte Carlo(MCMC)method,and the ammunition demand under different damage grades is *** example verifies the accuracy of this method and solves the problem of ammunition demand prediction in the case of insufficient samples.

关键词： ammunition demand prediction Bayesian inference Gompertz distribution system contribution Markov chain-Monte Carlo(MCMC)method

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A method to determine the shell layout scheme for equipment battlefield damage tests under artillery fire

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Defence Technology（防务技术） 2021年第2期17卷 682-691页

作者： Cai Chen Quan Shi Zhi-feng You Hong-yu Ge Fang Zhang equipment command and management department Army Engineering UniversityShijiazhuang050003China Baicheng Ordnance Test Center of China Baicheng137001China No.32178 Troops of PLA Beijing100012China

In this paper,a new method for determining the shell layout scheme is proposed,which can make the equipment damage data by the battlefield damage test resemble as close as possible the actual combat *** method is based on the analysis of the impact point distribution and effective damage area of *** order to obtain the position of the impact points,an impact point distribution model under artillery fire was ***,in order to obtain the effective damage area of equipment,the concepts of generalized damage area and task-based equipment functional damage probability were demonstrated,and the corresponding calculation model was *** case analysis,the shell layout scheme was effectively obtained,verifying the correctness of the proposed method.

关键词： Battlefield damage test Projectile impact point Effective damage area Functional damage

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A model for selecting green suppliers through interval-valued intuitionistic fuzzy multi criteria decision making models

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Journal of management Analytics 2022年第1期9卷 60-85页

作者： Seyedeh Saeedeh Mohammadi Adel Azar Ali Rajabzadeh Ghatari Moslem Alimohammadlou Faculty of management and Economics Tarbiat Modares UniversityTehranIran management department Shiraz UniversityEram Campus of Shiraz UniversityShirazIran

This study sought to construct a model for selecting green *** study was conducted in three phases:in phase 1,the literature was reviewed based on the meta-synthesis method and experts’opinions were analyzed to create a model composed of 11 dimensions and 40 criteria for selecting green *** phase 2,intuitionistic fuzzy best-worst method was used to weight the dimensions and *** most important dimension was“green image”and the most important criteria were the“environmental protection system”and a good“public image.”In phase 3,four suppliers in the field of medical equipment were assessed and *** study proposed a framework for selecting green supplier selection(GSC)and could prove to be more comprehensive than the existing models as it drew on the meta-synthesis *** innovation of the study was its reliance on the intuitionistic fuzzy set theory to overcome ambiguities in selecting suppliers.

关键词： green supplier best-worst method MULTIMOORA intuitionistic fuzzy

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Traumatic brain injury stimulates sympathetic tone-mediated bone marrow myelopoiesis to favor fracture healing

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Signal Transduction and Targeted Therapy 2023年第8期8卷 3751-3767页

作者： Weijian Liu Wei Chen Mao Xie Chao Chen Zengwu Shao Yiran Zhang Haiyue Zhao Qingcheng Song Hongzhi Hu Xin Xing Xianyi Cai Xiangtian Deng Xinyan Li Peng Wang Guohui Liu Liming Xiong Xiao Lv Yingze Zhang department of Orthopaedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China department of Orthopaedic Surgery The Third Hospital of Hebei Medical UniversityShijiazhuang 050051China School of Medicine Nankai UniversityTianjin 300071China NHC Key Laboratory of Intelligent Orthopeadic equipment Third Hospital of Hebei Medical UniversityShijiazhuang 050051China Animal Center of Hebei Ex&In vivo Biotechnology Shijiazhuang 050051China department of Physiology School of Basic Medicine and Tongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China

Traumatic brain injury(TBI)accelerates fracture healing,but the underlying mechanism remains largely *** evidence indicates that the central nervous system(CNS)plays a pivotal role in regulating immune system and skeletal ***,the impact of CNS injury on hematopoiesis commitment was ***,we found that the dramatically elevated sympathetic tone accompanied with TBI-accelerated fracture healing;chemical sympathectomy blocks TBIinduced fracture ***-induced hypersensitivity of adrenergic signaling promotes the proliferation of bone marrow hematopoietic stem cells(HSCs)and swiftly skews HSCs toward anti-inflammation myeloid cells within 14 days,which favor fracture *** ofβ3-orβ2-adrenergic receptor(AR)eliminate TBI-mediated anti-inflammation macrophage expansion and TBIaccelerated fracture *** sequencing of bone marrow cells revealed that Adrb2 and Adrb3 maintain proliferation and commitment of immune ***,flow cytometry confirmed that deletion ofβ2-AR inhibits M2 polarization of macrophages at 7th day and 14th day;and TBI-induced HSCs proliferation was impaired inβ3-AR knockout ***,β3-andβ2-AR agonists synergistically promote infiltration of M2 macrophages in callus and accelerate bone healing ***,we conclude that TBI accelerates bone formation during early stage of fracture healing process by shaping the anti-inflammation environment in the bone *** results implicate that the adrenergic signals could serve as potential targets for fracture management.

关键词： healing inflammation Traumatic

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A facile route to the hierarchical assembly of Au nanoparticles on carbon nanotubes through Cu^(2＋) coordination for surface-enhanced Raman scattering

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Chinese Chemical Letters 2017年第3期28卷 521-524页

作者： Zhi-Qiang Duan Xin-Bao Gao Tian-Peng Li Kai Yao Xu-Ming Xie shijiazhuang Mechanical Engineering College Shijiazhuang 050003China department of Graduate management Equipment AcademyBeijing 101416China Key Laboratory of Advanced Materials(MOE) Department of Chemical EngineeringTsinghua UniversityBeijing 100084China

We report the hierarchical assembly of Au nanoparticles on carboxylized carbon nanotubes（c-CNTs）through Cu^（2＋） coordination. This route is facile and green, and can easily control the loading density of Au nanoparticles. The c-CNT matrix ensures uniform distribution of Au nanoparticles, which is particularly important for the enrichment of hot spots while preventing their serious agglomeration. Moreover, the cCNT matrix also contributes to the electromagnetic enhancement due to its surface plasmon resonance,and the chemical enhancement due to the adsorption of the target molecules. The resulting Au@c-CNT nanohybrids exhibit a remarkable synergy in SERS compared to neat Au nanoparticles.

关键词： Au nanoparticles Carbon nanotubes Coordination Hierarchical assembly Surface-enhanced Raman scattering

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