http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Fault analysis of CNC equipment based on DEMATEL/ISM/ANP
Sun Shuguang,Zhou Wenjie,Zhang Meng,Liu Xiyu,Mou Xiaowan 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.8
To make a reasonable reliability improvement strategy for CNC equipment, it is necessary to clearly understand the fault relation characteristics and the weak links of reliability. While the fault complexity of CNC equipment makes the fault relation characteristics unclear, it is very difficult to determine the weak link of reliability. Therefore, a fault analysis method for CNC equipment based on decision-making and trial evaluation laboratory (DEMATEL)/ interpretive structure modeling (ISM)/analytic network process (ANP) is proposed in this study to describe the relationship between CNC equipment faults accurately and identify reliability weaknesses. First, the fault mechanism was analyzed by the fault phenomenon, and the fault factors of the CNC equipment were identified in view of the system. Second, DEMATEL/ISM/ ANP method was adopted to integrate the interaction direction and intensity between the failure factors, hierarchical structure of the factors, and their relative importance, and a hierarchical network structure model for CNC equipment fault factors was built. Finally, according to the analysis results of the aforementioned model, the fault factors of the CNC equipment were divided into drive, link, dependence, and independent fault factors, and the identification of the weak link of reliability was completed. Results show that the proposed method can quantify the fault factors of the CNC equipment and clearly identify the main direction of its reliability improvement.
Fault Diagnosis for Conventional Circuit Breaker Based on One-Dimensional Convolution Neural Network
Sun Shuguang,Zhang Tingting,Wang Jingqin,Yang Feilong 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.3
The vibration signal generated by the operating mechanism of conventional circuit breaker contains abundant mechanical state information. Aiming at traditional fault diagnosis methods that need to realize signal feature extraction based on feature selection, a fault diagnosis model based on one-dimensional convolutional neural network is proposed. In the diagnosis model, multiple convolutional neural networks are designed according to the type and degree of faults, and the network is set as a large convolutional kernel to enlarge the receptive field region; the raw vibration signal is used as the model input for training, and the corresponding fault type and degree are output after hierarchical diagnosis. The experimental results show that the model can automatically extract the fault signal features, effectively complete the fault diagnosis of the contact system for the conventional circuit breaker, and has good generalization ability. The model in this paper has a higher comprehensive diagnosis recognition rate compared with other methods, reaching 98.84%.
Performance Analysis of IEEE 802.15.4e Time Slotted Channel Hopping for Low-Rate Wireless Networks
( Shuguang Chen ),( Tingting Sun ),( Jingjing Yuan ),( Xiaoyan Geng ),( Changle Li ),( Sana Ullah ),( Mohammed Abdullah Alnuem ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.1
The release of IEEE 802.15.4e specification significantly develops IEEE 802.15.4. The most inspiring improvement is the enhancement for medium access control (MAC) sublayer. To study the performance of IEEE 802.15.4e MAC, in this paper we first present an overview of IEEE 802.15.4e and introduce three MAC mechanisms in IEEE 802.15.4e. And the major concern here is the Time Slotted Channel Hopping (TSCH) mode that provides deterministic access and increases network capacity. Then a detailed analytical Markov chain model for TSCH carrier sense multiple access with collision avoidance (CSMA-CA) is presented. Expressions which cover most of the crucial issues in performance analysis such as the packet loss rate, energy consumption, normalized throughput, and average access delay are presented. Finally the performance evaluation for the TSCH mode is given and we make a comprehensive comparison with unslotted CSMA-CA in non-beacon enabled mode of IEEE 802.15.4. It can validate IEEE 802.15.4e network can provide low energy consumption, deterministic access and increase network capacity.
Wenbo Liu,Shuguang Zhang,Boyi Sun 대한토목학회 2019 KSCE Journal of Civil Engineering Vol.23 No.10
In consideration of the influence of energy dissipation on the rock compression process, the traditional elastic stress-strain relationship was improved by adding the energy release rate. The microintensity of the rock was assumed to satisfy the Weibull distribution. The improved stress-strain relationship was transformed into a triaxial stress-strain model in consideration of the loading damage combined with mesodamage mechanics. The characteristic points of the stress-strain curve and the experimental data were utilized to calculate the distribution parameters of the rock under different conditions. The model curve was compared with the experimental data. Results showed that the stress-strain curve of the rock has peak points in the conventional triaxial compression test, but the radial peak of the rock was not evident in the unloading test. The energy of the rock under the loading path was smaller than that under the unloading path. The model curve exhibited a high degree of fitting with the experimental data, and its correlation coefficient was relatively large (> 0.90), which indicated that the model can clearly represent the actual damage and evolution law of the surrounding rock. Furthermore, the established model can also reflect the rock’s stress-strain relationship, which can serve as a practical guide for relevant applications. Finally, the distribution parameters also reflected the evolution law of rock energy and provided a method for the assessment of rock energy and damage trend.
Xiongfeng Deng,Xiuxia Sun,Shuguang Liu 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.8
In this paper, the consensus problem of leader-following nonlinear multi-agent systems with packet dropout is addressed. The iterative learning control method is applied to design the control protocol. Then, a distributed control protocol is presented, and a sufficient condition is derived. In addition, the Bernoulli distribution process is introduced to model the packet dropout case, where the dropout rate is converted into a stochastic parameter. The convergence of proposed control protocol is analyzed by norm theory. It is proved that, when there exists the packet dropout, the output of all the following agents can track the trajectory of leader under the proposedcontrol protocol. Finally, two examples are provided to illustrate the validity of the theoretical analysis.
Boyang Zhang,Xiuxia Sun,Shuguang Liu,Xiongfeng Deng 한국항공우주학회 2019 International Journal of Aeronautical and Space Sc Vol.20 No.4
This paper studies the extended state observer-based state space predictive control approach to deal with the multiple unmanned aerial vehicle formation flight with unknown disturbances. The distributed control problem for a class of multiple unmanned aerial vehicle systems with reference trajectory tracking and disturbance rejection is formulated. Firstly, a local distributed controller is designed by using the state space predictive control approach based on an error model to achieve stable tracking. Then, a feedforward compensation controller is introduced by using the extended state observer to estimate and compensate disturbances and improve the ability of anti-interference. Besides, the bounded stability of the designed extended state observer is analyzed as well. Finally, the simulation examples are provided to illustrate the validity of the proposed control structure.
Boyang Zhang,Xiuxia Sun,Shuguang Liu,Xiongfeng Deng 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.2
The complicated formation flight for multi-unmanned aerial vehicles is a challenge, especially when multi-mission requirements are taken into account. This paper studies the adaptive differential evolution-based distributed model predictive control approach to deal with the multi-unmanned aerial vehicle flight achieving obstacle/collision avoidance and formation keeping simultaneously in the complex environment. Specifically, the distributed model predictive controller is designed to achieve stable flight for each unmanned aerial vehicle as well as taking the state and input saturation into account, where the local optimization problem is solved by the adaptive differential evolution algorithm. Besides, the adaptive adjustment to the prediction horizon for the model predictive controller is introduced, while the asymptotic convergence of the rolling optimization is analyzed as well. Finally, simulation examples are provided to illustrate the validity of the proposed control structure.
Leader-Following Consensus Control of Nonlinear Multi-Agent Systems with Input Constraint
Xiongfeng Deng,Xiuxia Sun,Shuguang Liu 한국항공우주학회 2019 International Journal of Aeronautical and Space Sc Vol.20 No.1
This paper investigates the consensus control problem of leader-following nonlinear multi-agent systems with input constraint and directed communication topology. First, a general control protocol is given to solve the consensus of the multi-agent systems without input constraint. Then, the case of input constraint is considered, a fuzzy system is applied in constrained control protocol design. Also, the assumption that the Lipschitz condition for nonlinear item should be satisfied in many papers is not considered in this work. The convergence of the proposed control protocols is analyzed using the sliding mode control approach, Lyapunov stability theory and graph theory. Finally, two examples are provided to illustrate the effectiveness of the theoretical analysis.
Boyang Zhang,Xiuxia Sun,Shuguang Liu,Xiongfeng Deng 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.12
The complicated and constrained reconfiguration optimisation for unmanned aerial vehicles (UAVs) is a challenge, particularly when multi-mission requirements are taken into account. In this study, we evaluate the use of the adaptive differential evolution-based centralised receding horizon control approach to achieve the formation reconfiguration along a given formation group trajectory for multiple unmanned aerial vehicles in a three-dimensional (3D) environment. A rolling optimisation approach which combines the receding horizon control method with the adaptive differential evolution algorithm is proposed, where the receding horizon control method divides the global control problem into a series of local optimisations and each local optimisation problem is solved by an adaptive differential evolution algorithm. Furthermore, a novel quadratic reconfiguration cost function with the topology information of UAVs is presented, and the asymptotic convergence of the rolling optimisation is analysed. Finally, simulation examples are provided to illustrate the validity of the proposed control structure.