bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy Degradation Model and Residual Accuracy Life Prediction of CNC Machine Tools Based on Wiener Process
Authors: Li Shilin , Ran Yan , Zhang Genbao , Zhang Dingfei 
Published: February 2021

Abstract
In order to predict the accuracy residual life of CNC machine tools, an accuracy degradation model and accuracy residual life prediction method of CNC machine tools based on accuracy degradation data are proposed. Considering the non-linear and uncertainties in the process of accuracy degradation, an accuracy degradation model of CNC machine tools was established based on the nonlinear Wiener process; The accuracy failure is judged when the measured accuracy value exceeds the failure threshold for the first time. An accuracy residual life prediction model based on Inverse Gaussian distribution is established, and the accuracy residual life is calculated as a probability density function. To solve the problem of lack of historical data and prior information for a single CNC machine tool, particle filter is used to recursively update the posterior values of the model parameters based on the current observation data to achieve continuous optimization of the residual life prediction results; Finally, the correctness and effectiveness of the accuracy degradation model and the prediction method of the accuracy residual life are verified through the example analysis of the accuracy degradation experimental data of CNC machine tool.
Reliability evaluation of command information system under different attack modes
Authors: Jia Guohui , Zhou Jie , Li Junyi 
Published: February 2021

Abstract
Based on the basic structure of the typical command information system network, the model has been divided into physical layer and information layer. According to the whole network efficiency and reliability, five functional characteristics quantity are selected as the reliability evaluation indexes when the system is attacked randomly or deliberately. With the model we established, reliability changes of the constructed system are compared of different attack modes. The results provide evidence that the system reliability change obviously in different attack modes which should be special focused in practical application.
Study on environmental adaptability of 2A12-T6 aluminum alloy in typical atmosphere environments
Authors: Wu S , Su Y , Zhu Y Q , Shu C , Luo L Z , Zhong Y , Chen Y 
Published: February 2021

Abstract
The environmental adaptability of 2A12-T6 aluminium alloy exposed in marine, cold and plateau atmosphere environments has been investigated by corrosion morphology observation, weight loss test and mechanical properties test. the results showed that compared with cold and plateau atmosphere environment, 2A12-T6 aluminum alloy presented higher corrosion susceptibility in marine atmosphere environment; Cross-section morphologies analysis manifested that 2A12-T6 aluminum alloy suffered pitting attack in marine atmosphere environments, and the corrosion is very slight in the cold and plateau atmospheric environment; The corrosion weight loss of 2A12-T6 aluminum alloy in the three environments shows a trend of increasing, which conforms to the power function, Moreover, the corrosion weight loss of 2A12-T6 aluminum alloy in marine atmospheric environment was far greater than that in cold and plateau atmospheric environment; The mechanical properties of 2A12-T6 aluminum alloy exposed to three kinds of environments showed an upward trend under the effect of natural aging at the initial stage, then decreased under the corrosion action of marine atmosphere with the extension of exposure time, and remained basically unchanged in cold and plateau atmosphere.
Satellite Dynamic Fault Analysis Method Based on AltaRica Logic Modeling
Authors: Wang H , Li Y , Wang Z , Wu J 
Published: February 2021

Abstract
Modern spacecraft has developed into a complex system integrated multi-task, multi-specialty and multi-information. The cross-linking and coupling between different systems have exposed more and more logic sequence fault caused by non-software and hardware failures. It is difficult to comprehensively and accurately analyze the logical sequence faults of complex systems by using traditional fault tree analysis (FTA), failure mode and effect analysis (FMEA) and other manual methods. Furthermore, the reliability and safety of the spacecraft cannot be effectively guaranteed. In this paper, the dynamic fault analysis of the spacecraft was carried out based on the method of AltaRica logic modeling. The satellite power supply and distribution (PSD) subsystem was taken as an example. A dynamic model of charge and discharge between the solar array, the storage battery and the bus was established. Logical events and sequences of the bus power supply fault was calculated. The results show that this method can effectively complete the dynamic modeling and fault analysis of the spacecraft system, and it has higher analysis capability and efficiency than traditional methods.
Neural network-based probability forecasting method of aviation safety
Authors: Zheqi Zhu , Bo Ren , Xiaofeng Zhang , Hang Zeng , Tao Xue , Qingge Chen 
Published: February 2021

AbstractAviation safety forecasting is of great significance for accident prevention. At present, aviation safety forecasting is mainly deterministic forecasting, ignoring the impact of various uncertainties on forecasting. In this paper, on the basis of deterministic forecasting, the forecasting of aviation safety probability is carried out based on the uncertainty of neural network point forecasting value. The uncertainty of aviation safety forecasting is described by three ideas: the numerical statistical characteristics of point forecasting value, the probability density fitting of point forecasting value and the distribution of error. The interval forecasting result is obtained, which can better understand the uncertainty and risk of forecasting quantity. Taking the aviation safety data of civil aviation from 1993 to 2008 as an example, the results show that this method can provide the most possible range of aviation safety forecasting under certain uncertainty level, and is more conducive to the modeling of aviation safety uncertainty.
Attack and Defense Strategy for Infection Network System with Two Early Warning Mechanism
Authors: Wang Jiaheng , Chen Die , Chen Fu 
Published: February 2021

Abstract
As the progress of IoT technology, Cyber-Physical System gradually becomes the basic pillar of people’s daily life. Contrary to its convenience, Cyber-Physical System could be easily broken by attackers and these attacks infect the system and affect more systems, thus interfering with people’s normal work and life. In this context, this paper establishes a system defense model for the propagable network with the warning mechanism as the core. The system defense model includes warning components, which trigger the first and second warning mechanisms, and components protection and camouflage components. After deducing the reliability of the defense model system, this paper considers the influence of different parameters about the system reliability and analyzes the relationship between warning components, camouflage components, and systemreliability. Based on the different parameters that affect the system reliability, this paper proposes the optimal defense deployment strategy under the attack optimal strategy and obtains the basic principles of the deployment of defense measures through numerical analysis. Finally, the simulation experiments of different systems prove the rationality and correctness of the proposed model.
Research on Fault Prognosis Methods Based on Data-driven:A Survey
Authors: Yuan Li , Zhuojian Wang , Zhe LI , Zihan Jiang 
Published: February 2021

Abstract
Fault prognosis technology, as the key to realize autonomy support and carry out condition-based maintenance (CBM), has been fully developed and researched in recent years. In this paper, the existing fault prediction methods are briefly summarized and studied, and focused on the data-driven prediction method. In the light of the scale of data, all kinds of prediction methods are divided into small sample-based and large sample-based fault prediction methods. The basic principles, advantages and disadvantages of each type of typical analytical methods are summarized, and finally, we put forward the research prospect the development direction of future data-driven fault prediction.
Reliability Life Estimation Considered fault Correlation of Aerial Bearing
Authors: Song C , Bian Z , Ding S N 
Published: February 2021

Abstract
The purpose of this paper is to study the reliability life calculation model of aerial rolling bearing considered the correlation of failure model. By mean of collecting relevant experiment data of vibration signal and temperature signal in the life test of the aerial rolling bearings, and analyse time domain and frequency domain, we can analyse the main failure modes and mechanism (e.g. wear, fatigue). The characteristic parameters that characterize the healthy state of aerial rolling bearings obviously are extracted further. Considering that the bearings expose multiple failure modes in the working process in most case, bearing fault diagnosis method is based on fuzzy theory. It is used to clarify the failure mechanism of different failure modes and the degradation rule of performance characteristic parameters. It’s very essential that establish the clear relationships between performance degradation and symptomatic set. According to the fault diagnosis results, each of failure modes is established the performance degradation model respectively. Considering the correlation between multiple different failure modes, Copula theory is introduced to analyse the correlation between multiple failure modes. Base on Copula theory, it’s obtained the life distribution model of aerial bearing based on multiple failure modes. Life distribution model are verified by subsequent experiments, which show that life distribution model of aerial rolling bearing in this paper, is feasible and necessary.
Dynamic Reliability and Reliability-Based Sensitivity of Transmission System in Shearer
Authors: Zhou D , Gao Y M , Pan E S 
Published: February 2021

Abstract
Transmission system in shearer, such as traction unit and cutting arm, is the essential mechanism in the mining process, which supports the whole shearer and shock vibration. Considering various uncertainties, the evolving process is established to describe the dynamic system response with uncertain factors. Considering the parametric randomness and material strength. the failure domain is regarded as the dynamic extreme value of transmission system response exceeding the threshold in operation. According to the saddle-point approximation method, the dynamic extreme distribution is investigated to measure the safe probability and parametric sensitivity of transmission system in shearer. The dynamic reliability and reliability-based sensitivity are analysed to evaluate the evolving process of transmission system in shearer. According to the transmission model of traction unit, the influence degree of each parameter’s fluctuation can be quantified based on the indices of dynamic mean-value reliability-based sensitivity and standard deviation reliability-based sensitivity. The crude Monte Carlo simulation is taken as the benchmark to validate the reasonability.
A Design Method of UAV Flight Protection Area Based on the Statistical Analysis of Flight Path Deviation
Authors: Xin MA , Xin HUANG , Li LU , Xia LI 
Published: February 2021

Abstract
According to the design specification of International Civil Aviation Organization(ICAO) document No. 8168, by referring to the flight record data of UAV and using the statistical and analysis method of flight line deviation limit data, the limit data is obtained, and according to the definition of collision probability model in flight programming specification, the design method of flight protection area for UAV is obtained based on flight path deviation limit data. A simulation experiment was established based on the computational simulation. The calculation results showed that: the design of UAV flight protection area is mainly determined by navigation accuracy, positioning mode, flight link and other factors, and the weight is different. By improving the accuracy and changing the flight link, the scope of UAV flight protection area can be effectively reduced. In the future, the joint operation of manned aircraft and UAV in the hollow and low-altitude airspace provides the basis for airspace planning, which further ensures flight safety and improves operational efficiency.
Deformation Inspection and Safety Assessment Method of Buried Flexible Pipeline in Service
Authors: Xinmin Zhu , Shaokong Feng , Tao Huang , Feng Shang , Lufei Yang 
Published: February 2021

Abstract
The working performance of buried flexible pipelines is connected with the pipe- soil interaction; the weak stiffness of backfill leads to large long-term pipeline deformation and even structural failure. Spangler’s formula is a theory for macroscopic evaluation of pipeline deformation, which cannot reflect the deformation state of various parts around the pipe from a microscopic view. A large number of engineering practices have shown that when the macro radial deformation of the flexible pipe is not large, it is also possible that the local geometric size of the pipeline may change suddenly in the microscopic view. Combining with a diversion project, a laser scanning and piecewise elliptic curve fitting combined method was proposed to measure the empty pipeline deformation in this paper. The deformation pattern of the flexible pipeline was analysis. And then, the analysis results were verified by the elastic wave test and material test data. Based on the deformation inspections, the internal force and related reliability of pipe structure were calculated. Finally, the structural safety of each pipe was assessed to guide the replacement, repair and reinforcement of pipeline.
Research on fatigue crack propagation of metal structure of casting crane based on XFEM
Authors: Chen G L , Cheng J M , Jin H 
Published: February 2021

Abstract
Aiming to solve the crack problem at the connection between the metal diaphragm of the casting crane and the lower cover plate and web, a three-dimensional model of solid-shell coupling of a single main beam is established according to the design drawing of the casting crane, and the crack propagation was simulated using the expansion finite element method (XFEM). The results show that during the crack propagation process at the joint between the diaphragm and the web, the magnitude of the equivalent stress intensity factor ΔKeff
is not much different from the magnitude of the type I crack stress intensity factor ΔKI
during crack growth at the junction of diaphragm and web weld. The amplitudes of Type II and Type III stress intensity are smaller than those of Type I and equivalent stress intensity factors. In the process of fatigue cracking of the weld between the diaphragm and the web, the type I cracks dominate the role, and the type II and III cracking models have little effect on the connection between the diaphragm and the web.
An Technical Condition Evaluation Index Reduction Method Combining Rough Set and Genetic Algorithm
Authors: Wei S , Zeng Q , Chen Y 
Published: February 2021

Abstract
The evaluation of equipment technical condition involves lots of indexes and the relationship between different indexes is complex. It brings a huge workload to the collection of evaluation information, and the interference caused by the correlation between indicators also increases the uncertainty of the evaluation results. Aiming at the problems mentioned above, this paper proposes a reduction method of equipment technical condition evaluation index system based on rough set and genetic algorithm. The rough set and genetic algorithm are used to reduce the state evaluation index, the redundancy is removed, and the best indexes reflecting the change of equipment technical condition status are retained. A reduction case of a gas turbine technical condition status evaluation index system shows that this method can reduce a complex index system to a more concise and clear index system without losing its representativeness and systematicity. This method can reduce the difficulty of information collection, and improve the accuracy of the evaluation results.
Storage Failure Mechanism Analysis and Reliability Improvement Measures for Electromagnetic Relay
Authors: Wang Zhaobin , Li Weiyan , Chen Kangning , Li Zhen , Shang Shang 
Published: February 2021

Abstract
In order to solve the problem of unknown cause of parameter degradation and incomplete failure mechanism, and to obtain the data support required for the storage life evaluation of the whole machine system, a certain type of electromagnetic relay was selected for accelerated storage degradation test. The failure mode, the law and mechanism of electrical parameter change under storage condition were studied. On this basis, the improvement measures of relay reliability are put forward, which is of certain significance to improve the reliability of electromagnetic relay and system.
Distributed Video Compressed Sensing Secondary Reconstruction Based on Inter-Frames Similarity Structure
Authors: Yuchen Yue , Jianhua Luo , Hua Li 
Published: February 2021

Abstract
The emergence of distributed video compressed sensing technology has effectively reduced the computational cost and power consumption of the video system. As the core content of the DCVS research, reconstruction algorithms are mostly focused on improving the reconstruction quality of CS frames, while neglecting the reconstruction quality of the key frame. The key frame is not fully utilized as well. Focus on these problems, the paper proposes a distributed video compressed sensing secondary reconstruction algorithm based on similar structure between frames. In order to eliminate the influence of non-overlapping block CS that may introduce noise and block effects on key frames, firstly, the fractional total variation algorithm is used to initially reconstruct the key frames, which improves the reconstruction quality while reducing the computational complexity. Then, a CS frame secondary reconstruction algorithm based on structural similarity is proposed, which uses SSIM as the matching criterion to search for matching block groups similar to the current frame from multiple reference frames, as a regular term to achieve the secondary reconstruction of CS frames. The experimental results show that the overall performance of the proposed algorithm is better than the current advanced DCVS method. The research results of the thesis can be used for reliable compressed sensing reconstruction of video and image.
Variable structure Copula model and its Comparison with static and time-varying Copula models
Authors: Zhou Ling , He Xiao-Shu 
Published: February 2021

Abstract
Copula model has been increasingly used in reliability modeling of correlation systems. In this paper, the static copula model, time-varying copula model and variable structure copula model are compared. Firstly, variable structure copula model is introduced. Secondly, the procedures of Bayes diagnosis method which is used to diagnose the variable structure points are introduced. Finally, the correctness of Bayes diagnosis method for finding variable structure points is verified by a simple numerical example. The comparison results illustrate that the staged correlation parameter estimated by variable structure Copula model is better than the constant correlation parameter estimated by static Copula model, and also it has a consistent trend with correlation parameter estimated by time-varying Copula model.
Research on Maintenance Method of Safety-level Switching Power Supply Module in Nuclear Power Plant
Authors: Wang Huanyu , Zhu Guixia , Teng Xiaolei , Sun Xin’an , Qian Yugang , Hu Yuying 
Published: February 2021

Abstract
With the technological development in the domestic electronic industry and the urgent demand of cost reduction and efficiency improvement in nuclear power plant, the electrical equipment in nuclear power plant has changed from replacing with brand-new equipment regularly or after failure to reusing after aging mitigation. At present, it is very urgent to research the maintenance methods of safety-level electrical equipment. Through the research on the failure mode and influence analysis, vulnerable components and parts, post-repair test and post-repair service life calculation of the safety-level switching power supply module, the maintenance methods are systematically sorted out. Through specific case analysis, the aging of power supply module can be mitigated and the reliability of it can be improved. At the same time, the method can be extended to other safety-level electrical equipment maintenance with one of the characteristics of unavailability of spare parts, high price, and large quantity or reverse demand.
A Robust Localization Method in Indoor Dynamic Environment
Authors: Huang Shan , Huang Hong-Zhong , Zeng Qi 
Published: February 2021

Abstract
Localization is one of the core technologies for mobile robots to achieve full autonomous movement, and is a prerequisite for other autonomous tasks. The robot working environment is dynamic in most cases, so the localization algorithm must overcome the effects of dynamic changes in the environment. The paper proposed a localization algorithm that allows the robot to perform robust and life-long localization in dynamic environment. The algorithm filter out high-dynamic objects and update semi-static object on the map at the same time, it can also use the information provided in semi-static objects to improve localization performance. In this paper, the processing of dynamic objects is divided into two parts: filtering of high-dynamic objects and updating of semi-static objects. For high dynamic object filtering, a dynamic object detection method combining a delay comparison method and a tracking method is proposed by observed the characteristics of localization system; For the update of semi-static objects, this paper uses the pose graph optimization and occupancy map to implement the dynamic update of the map. The combination of the two methods allows the robot to achieve long-term stable localization in a dynamic environment. The experimental results demonstrate that the proposed method allows the robot achieve long-term localization, overcome the effects of high-dynamic objects and keeping the map always consistent with the environment.
Research on Qualitative Analysis and Quantitative Evaluation Method of BDS Signal-In-Space Integrity
Authors: Gong Peipei , Wei Guanyu , Cao Yueling , Liu Ding , Long Dongteng 
Published: February 2021

Abstract
Aiming at the current status of BDS release of integrity indicators, this paper studies and proposes modeling and qualitative analysis methods for BDS Signal-In-Space(SIS) integrity indicators, which can be used for the allocation and prediction of integrity indicators during system development and construction; The BDS basic navigation service (RNSS) space signal integrity parameter design has proposed a quantitative evaluation method, which can be used for the integrity index test evaluation of the system operation phase. The test results show that the integrity of the new signal of the BDS is 100%.
Summary of software reliability Research
Authors: Yin Shizhuang , Shi Quan , Wang Yadong , Chen Cai 
Published: February 2021

Abstract
This paper summarizes the main contents of software reliability research. With the rapid development of information technology, software plays an increasingly important role. Along with its complexity increasing software faults are becoming more and more. In some key fields due to software failures may even lead to unacceptable consequences. Therefore, it is necessary to study software reliability. Through reading lots of literatures summarizing researches on domestic and foreign scholars this paper puts forward some main problems which need further discussion in software reliability research.