Qiwei Hu

PLA Army Engineering University

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i-10 index

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Co-Authors

Wenbin Cao

Ordnance Engineering College

Xisheng Jia

PLA Army Engineering University

Mingchang Song

PLA Army Engineering University

Xi Zhu

PLA Army Engineering University

Yongsheng Bai

Texas State University

Zhifeng You

PLA Army Engineering University

Juan Li

PLA Army Engineering University

Yadong Wang

University of Portsmouth

Quan Shi

National University of Defense Technology

Jianmin Zhao

Yantai Institute of Coastal Zone Research

Cooperative Institutions

Ordnance Engineering College

PLA Army Engineering University

Shijiazhuang University

Northeastern University

University of Science and Technology Beijing

Shandong University

Anhui University of Science and Technology

Huazhong University of Science and Technology

Dalian University of Technology

Nanjing University of Aeronautics and Astronautics

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Research of battlefield damage analysis based on computer simulation

Systems engineering and electronics (2006)

Qiwei Hu

In view of the demand for analysing battlefield damage of equipment,the research of battlefield damage analysis based on computer simulation is investigated thoroughly,and some problems such as equipment modeling,threat modeling,damage simulation are presented fully.Using these methods the damage to equipment can be microcosmically analyzed,and the damage to components can be gotten.At last an instance is presented to illuminate the application of the analysis for battlefield damage.The average amount of effected fragments and damage probability of one component is calculated and analyzed.

Battlefield

Component (thermodynamics)

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Citations (1)

Cognitive Development Model for Battlefield Damage Assessment

Jisuanji gongcheng (2007)

Qiwei Hu

In order to build battlefield damage assessment intelligent tutoring system,this paper studies the development cognitive model of battlefield damage assessment.According to some actual battlefield damage assessment processes,a battlefield damage assessment process for training is built and the logical and effective assessment decision-making process is determined.It also describes and analyzes the content of each step in the battlefield damage assessment process and the knowledge of battlefield damage assessment is analyzed as well.Based on the theory of intelligence and skill levels,the cognitive task of battlefield damage is discussed.According to the cognitive task model in medical treatment,the cognitive model is built.

Battlefield

Cognitive Assessment System

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The joint optimization model for spare part demand and maintenance cost under compound maintenance strategy

Qiwei Hu Xu Ren Feng Li Yongsheng Bai

Spare parts are the fundamental basis for material usage and maintenance. Aiming at the limitation of maintenance strategy in spare part support, the compound maintenance strategy was introduced. Taking the compound maintenance task of periodic replacement with functional checks as example the relationship between spare part demand and maintenance cost was analyzed, and the joint optimization mathematical model was established. On the basis of the above research, a numerical example was given to illustrate the application of the method and generality of the joint optimization model.

Spare part

Generality

Maintenance engineering

10.1109/qr2mse.2013.6625795

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Citations (1)

Selective maintenance for maximising system availability: a simulation approach

International Journal of Innovative Computing and Applications (2017)

Hongyu Ge Wenyuan Song Xisheng Jia Qiwei Hu Wenbin Cao

Selective maintenance is a process of identifying the sets of components to be repaired and corresponding maintenance activities to be performed when given sets of limited maintenance resources, such as time, budget, repairman, spares, etc. Examples of selective maintenance abound in applications such as manufacturing systems, military systems, power generation systems, etc. In this paper, a simulation method is proposed to optimally select the maintenance schemes, including the selected components to be repaired and maintenance tasks allocation with the objective of maximising system availability. Genetic algorithm (GA) is adopted to optimally allocate maintenance tasks to the limited repairman. An illustrative example is presented to demonstrate the applicability. Furthermore, the effects of repairman and mission duration on system availability are discussed in the end.

Optimal maintenance

Maintenance actions

Planned maintenance

10.1504/ijica.2017.10003142

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Citations (3)

Selective maintenance optimization for fuzzy multi-state systems

Journal of Intelligent & Fuzzy Systems (2018)

Wenbin Cao Xisheng Jia Yu Liu Qiwei Hu

This paper addresses a selective maintenance optimization problem for a fuzzy multi-state system composed of fuzzy multi-state elements. Due to insufficient data and unpredictable external working conditions, both the performance capacity and states transition intensities of multi-state elements ca nnot be known precisely, but are represented by fuzzy numbers. Additionally, both the durations of a break and a succeeding mission are also treated as fuzzy values. To maximize the fuzzy probability of a system successfully completing a succeeding mission, a selective maintenance model is proposed to identify an optimal subset of maintenance activities to be performed on some elements in the system. A solution algorithm containing three rules to eliminate inferior solutions and narrow down elements' states combinations is proposed to resolve the new selective maintenance model in a computationally efficient manner. An illustrative example of an archibald is presented to demonstrate the effectiveness of the proposed model.

10.3233/jifs-17031

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Citations (27)

A literature review on selective maintenance for multi‐unit systems

Quality and Reliability Engineering International (2018)

Wenbin Cao Xisheng Jia Qiwei Hu Jianmin Zhao Yutao Wu

Abstract Selective maintenance is regarded as a type of profit‐generating maintenance policy, playing an important role in balancing limited maintenance resources with system performance. Since 1988, increasing interest has been focused on this research area. Nevertheless, to the best of our knowledge, there is a lack of critical reviews of selective maintenance. This paper is the first systematic review focusing on this relevant topic. In this work, a definition and some specific features of selective maintenance are elaborated. Based on these features, a set of criteria that have been considered in selective maintenance optimization are summarized into 3 categories: system characteristics, maintenance characteristics, and mission profile characteristics. Based on these criteria, a comprehensive literature review on selective maintenance is undertaken. The solution approaches, as well as a general procedure for selective maintenance optimization, are discussed. Finally, some possible directions for further research are provided.

10.1002/qre.2293

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Citations (67)

Maintenance Optimization Based on Three-Stage Failure Process under Performance-Based Contracting

Mathematical Problems in Engineering (2021)

Xi Zhu Fei Zhao Juan Li Yongsheng Bai Qiwei Hu

As a new form of support contract, performance-based contracting has been extensively applied in both public and private sectors. However, maintenance policies under performance-based contracting have not gotten enough attention. In this paper, a preventive maintenance optimization model based on three-stage failure process for a single-component system is investigated with an objective of maximizing the profit and improving system performance at a lower cost under performance-based contracting. Different from conventional optimization models, the step revenue function is used to correlate profit with availability and cost. Then, a maintenance optimization model is proposed to maximize profit by optimizing the inspection interval. Moreover, the customers’ upper limit of funds is considered when we use the revenue function, which has rarely been considered in past studies. Finally, a case study on the cold water pumps along with comparison of linear and step revenue function and sensitivity analysis is provided to illustrate the applicability and effectiveness of our proposed approach.

10.1155/2021/6323844

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Citations (3)

The Study of Experiential Formula Simulation Metamodel Based on Genetic Algorithm

Fire Control and Command Control (2011)

Qiwei Hu

Aiming at the construction of combination model,the necessity of experiential formula simulation metamodel is analyzed from operational system,developping platform,format,hardware of submodel.Based on equal experiment,the construction method of experiential formula simulation metamodel based on genetic algorthm is presented,and some key problems is studied,such as coding of experiential formula simulation metamodel configuration,object function and adaptive function,crossover operator,selection operator,mutation operator.At last the thermal response of building fence caused by thermobaric ammunition is studied through experiential formula,and the effect of thermal response due to many factors is analyzed based on experiential formula.

Metamodeling

Operator (biology)

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Citations (0)

Modeling Spare Parts Demands Forecast under Two-Dimensional Preventive Maintenance Policy

Mathematical Problems in Engineering (2015)

Qiwei Hu Yongsheng Bai Jianmin Zhao Wenbin Cao

In maintenance practice, there is such a situation where the spare parts replacement should be carried out at the scheduling time of calendar or usage for whichever comes first. The issue of two-dimensional preventive maintenance usually was not addressed by traditional methods, and at present, few studies were focused on this very topic. Based on these considerations, this paper presented the two-dimensional preventive policy where replacements of spare parts are based on both calendar time and usage time. A novel model was developed to forecast spare parts demands under two-dimensional preventive maintenance policy, and a discrete algorithm was presented for solving the mathematical model. A case study was given to demonstrate its applicability and validity, and it was showed that the presented model can be used to forecast spare parts demands as well as to optimize spare parts and preventive maintenance jointly.

Spare part

Planned maintenance

10.1155/2015/728241

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Citations (29)

On the Architecture and Key Technology for Digital Twin Oriented to Equipment Battle Damage Test Assessment

SSRN Electronic Journal (2022)

Mingchang Song Quan Shi Zhifeng You Qiwei Hu Lei Chen

As an important technical means to realize the concept of the digital battlefield in the future, the research on the application of digital twin technology in the field of battle damage assessment needs to be further developed. Given the current digital twin technology application requirements and implementation difficulties in the battle damage assessment, the application method of the digital twin for the equipment battle damage test assessment was explored. The connotation and characteristics of digital twinning technology-oriented to equipment battle damage test assessment were provided. The architecture and implementation plan of digital twin oriented to equipment battle damage test assessment were built. The key technology and realization of digital twinning oriented to battle damage test assessment were analyzed. This research provides technical and methodological support for equipment invulnerability design, battlefield predictional and real-time damage assessment, and combat decision-making. It has important reference significance for the digital twin battlefield construction and the development of the battle damage assessment.

10.2139/ssrn.4062470

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Citations (2)