检索结果-内蒙古大学图书馆

10th International Symposium on Test automation & Instrumentation (ISTAI 2024)

作者： Jia Zhao Wei Shi Wei Ren School of Health and Intelligent Engineering Chengdu Medical College of China Chengdu People's Republic of China School of Automation Engineering University of Electronic Science and Technology of China Chengdu People's Republic of China

ISBN: (数字)9781837241910

Aiming at the difficult problem of low sampling rate of high-resolution ADC in power analysis, this paper proposes a real-time voltage and current phase correction method based on an FIR digital filter. The homologous clock technique is used to achieve multi-channel data acquisition synchronization. The combination of integer and fractional parts in a high precision phase correction approach is discussed. The FIR digital filter is implemented in FPGA using the serial-parallel combination technique. Additionally, the FIR filter only uses 4*18 KB of RAM and 4 DSP 48E1 IP cores to implement real-time filter calculation on the FPGA. Experiments demonstrate that the proposed method can achieve 1.95 ns step and a correction index of -512.5 us to +512.5 us when the sampling rate is 2 MSa/s. Good real-time performance and sparse resource usage are the main attributes of the proposed approach. The proposed method is used to get good phase correction results on a power analyzer with 2 MSa/s and 18 bits.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Markov Latent Frequency Transition Analysis for Robust Bearing Diagnosis in Transient Noise Scenarios

Markov Latent Frequency Transition Analysis for Robust Beari...

引用

Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Junxiao Ma Yuhao Wu Peng Chen Chengning Zhou Changbo He Qingsheng Wei College of Engineering Shantou University Shantou Guangdong China Key Laboratory of Intelligent Manufacturing Technology Ministry of Education of China Shantou Guangdong China Nuclear Power Institute of China Chengdu China College of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

In real-world applications, the diagnostic accuracy of rolling bearings is often compromised by environmental factors such as variable rotational speeds, transient noises, and unexpected mechanical impacts. These factors can obscure damage symptoms, making precise detection of bearing failures challenging. Conventional diagnostic methods struggle to handle these complexities and often miss failure features hidden in multifaceted random transient noise. To address these issues, this research introduces the Markov Latent Frequency Transition Peak Rate (MLFTPR) methodology. MLFTPR focuses on accurately monitoring temporal state transitions and identifying anomalous signals, aiming to mitigate transient noise at the source and improve resistance to external disturbances. This enhances precision and reliability in demodulation band selection. Additionally, an amplitude interference-reduction feature is integrated to recognize and suppress transient noise effectively. Experimental results validate the efficacy of MLFTPR, demonstrating its capability to accurately diagnose bearing defects even amidst transient disturbances.

关键词： Resistance Accuracy Noise Velocity control Rolling bearings Transient analysis Prognostics and health management Monitoring Demodulation Resilience

来源：评论

学校读者我要写书评

暂无评论

Research on Displacement Measurement Device Dropped with UAV to Apply to Monitoring Geologic Hazard near Pylons in Sichuan-Chongqing Aera

Research on Displacement Measurement Device Dropped with UAV...

引用

Computational Modeling, Simulation and Data Analysis (CMSDA), International Conference on

作者： Jiahao Yu Wencheng Sun Zhangjian Qin Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Southwest Branch of State Grid Corporation of China Chengdu China

It is necessary to monitor geologic hazard near pylons in Sichuan-Chongqing aera by means of displacement measurement. A Displacement Measurement Device (DMD) dropped with Unmanned Aerial Vehicle (UAV) should be designed and implemented because it is very difficult to mount the device on the steep mountain. Difference position technology applys in the DMD based on the Beidou satellite navigation system. The appearance of DMD is regular tetrahedral which is very stable when the device lands on either side dropped with UAV. The antennas of the DMD are placed in a sphere which always face the satellite because the spherical structure like a roly-poly toy standing still. The DMDs are mounted on the H08 landslide and H10 landslide, which are potential landslide near pylons in Sichuan-Chongqing aera. The DMDs are dropped with UAV and now are running stably.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Motion Simulation of Multi-type Surface Adsorption Robot for Power Energy Industry

Motion Simulation of Multi-type Surface Adsorption Robot for...

引用

automation, Control and Robotics engineering (CACRE), International Conference on

作者： Congjun Ma Hongxiang Zhang Xiaolong Li Songyi Dian College of Electrical Engineering Sichuan University Chengdu China Chengdu Haiguang Nuclear Power Technology Service Co. Itd Chengdu China

In the field of power energy industry, there exists a significant demand for equipment operation and maintenance. Amongst the various operation and maintenance scenarios, surface operation and maintenance is particularly ubiquitous. To overcome the challenge of surface operation and maintenance of key equipment in the power industry, an adsorption hexapod robot has been introduced in this study. The robot is capable of adapting to diverse surfaces and can achieve adsorption motion under specific configurations. In order to validate the robot’s ability to adsorb and traverse across multiple surface types, a full-real simulation platform has been developed in this research. The simulation verification has been conducted for three typical curved scenes, namely gas insulated switchgear in power grid with cylindrical surface, steam generator in nuclear power with spherical surface and wind blade in wind power with edge surface. The simulation results demonstrate that the designed robot can adeptly perform adsorption motion on various typical surfaces. These results can be utilized as a reference for further work to build a robot prototype and conduct adsorption experiments.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Study on High Temperature Oxidation Resistance of MoNbTi(Al, Cr) Refractory High Entropy Alloys

SSRN

引用

SSRN 2025年

作者： Zhu, Chang Wu, Jiaying Pan, Hucheng Pan, Zhen Teng, Changqing Wu, Lu Yang, Jijun Wu, Yu Qin, Gaowu College of Materials Science and Engineering Northeastern University Shenyang110819 China Sichuan Chengdu610041 China Key Laboratory of Radiation Physics and Technology of Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Sichuan Chengdu610041 China

Refractory high-entropy alloys (RHEAs) are widely used in aerospace, power generation, nuclear materials, and other fields due to their exceptional high-temperature mechanical properties. However, their poor high-temperature oxidation resistance remains a critical bottleneck. In this study, three types of refractory high-entropy alloys—Mo30Nb35Ti35, (Mo30Nb35Ti35)95Al5, and (Mo30Nb35Ti35)90Al5Cr5—were designed and prepared. The oxidation weight gain at 900 °C was tested and the composition and structure of their respective oxide layers were studied. The effects of Al and Cr elements on the high temperature oxidation resistance of MoNbTi-based refractory high-entropy alloys were compared and analyzed. Mo30Nb35Ti35 showed poor oxidation resistance at 900 °C. The oxidation resistance of (Mo30Nb35Ti35)95Al5 was greatly improved. The selective oxidation of Al formed Al2TiO5 and AlNbO4 composite oxide layers, which had a positive effect on the oxidation resistance. The synergistic effect of Al and Cr in (Mo30Nb35Ti35)90Al5Cr5 accelerates the formation of surface oxide film. Cr promotes the formation of TiO2 with rutile structure, and forms a dense dendritic lamellar oxide layer with Al, Nb and Ti to inhibit the inward diffusion of oxygen atoms. Compared with the Mo30Nb35Ti35 alloy, the (Mo30Nb35Ti35)90Al5Cr5 alloy demonstrates the best oxidation resistance. This study offers theoretical guidance for the development of new high-temperature oxidation-resistant metallic materials. © 2025, The Authors. All rights reserved.

关键词： Titanium dioxide

来源：评论

学校读者我要写书评

暂无评论

A Digital Oscilloscope Based Hardware Implementation Approach for Universal Memristor Emulators

A Digital Oscilloscope Based Hardware Implementation Approac...

引用

International Conference on Electronic Measurement and Instruments, ICEMI

作者： Bo Xu Jia Zhao Kai Chen Yifan Wang Yanjun Yan Libing Bai School of Automation Engineering University of Electronic Science and Technology of China Chengdu China School of Big Health & Intelligent Engineering Chengdu Medical College of China Chengdu China

Prior to nanoscale memristors are commercially viable, accurately verifying the characteristics of memristors in hardware is one of the effective approaches to rapidly expanding their engineering by applications. Nevertheless, the commonly used equivalent circuit based on commercial devices has issues: large errors, inefficiency, and compatibility. This paper proposes a general digital model for memristors based on Taylor expansion and introduces a polynomial order determination method. Numerical simulations confirm that the proposed model exhibits three typical characteristics of memristors. Afterwards, a reconfigurable memristor simulator is developed based on FPGA. Finally, the simulator is embedded in a digital oscilloscope, and an interface is designed to display the hysteresis loop of the memristor. In addition, by online modification of the polynomial coefficients, the existing memristors can be simulated in the designed platform and the phase trajectory can be displayed with high accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Survey on Controlable Image Synthesis with Deep Learning

arXiv

引用

arXiv 2023年

作者： Zhang, Shixiong Li, Jiao Yang, Lu The School of Automation Engineering University of Electronic Science and Technology of China Sichuan Chengdu China The College of Information Engineering Sichuan Agricultural University Sichuan Chengdu China

Image synthesis has attracted emerging research interests in academic and industry communities. Deep learning technologies especially the generative models greatly inspired controllable image synthesis approaches and applications, which aim to generate particular visual contents with latent prompts. In order to further investigate low-level controllable image synthesis problem which is crucial for fine image rendering and editing tasks, we present a survey of some recent works on 3D controllable image synthesis using deep learning. We first introduce the datasets and evaluation indicators for 3D controllable image synthesis. Then, we review the state-of-the-art research for geometrically controllable image synthesis in two aspects: 1) Viewpoint/pose-controllable image synthesis;2) Structure/shape-controllable image synthesis. Furthermore, the photometrically controllable image synthesis approaches are also reviewed for 3D re-lighting researches. While the emphasis is on 3D controllable image synthesis algorithms, the related applications, products and resources are also briefly summarized for practitioners. © 2023, CC BY.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Research on the Starting Time Sequence of Power Analyzer System

Research on the Starting Time Sequence of Power Analyzer Sys...

引用

International Conference on Electronic Measurement and Instruments, ICEMI

作者： Jia Zhao Bo Xu Yifan Wang School of Big Health & Intelligent Engineering Chengdu Medical College of China Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

The proper functioning of electromechanical equipment is of paramount importance to the owner. Power analyzer, as an instrument capable of measuring high-precision power of the EE, is widely used in its research and development, production and maintenance. The complex use environment is one of the key factors affecting the performance of the PA. Therefore, in this paper, a hardware architecture of the PA based on Field Programmable Gate Array(FPGA) and embedded Industrial Personal Computer(IPC) is proposed. First, the system startup process is analyzed from three aspects: system power-up sequence, DC power ripple elimination and external device identification, and the corresponding system startup algorithm is proposed. Second, using the BPI configuration mode to reduce the loading time of the system. Finally, a hardware experimental platform is designed and the proposed Power analyzer system algorithm of starting time sequence is verified on this platform. The experimental results show that the designed start-up algorithm can ensure the normal start-up of PA in different ambient temperatures, which has very important engineering significance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Quantized Fuzzy Lateral Control of Networked Autonomous Vehicle Against Unknown Disturbance Based on Adaptive Neural Network Observer

Quantized Fuzzy Lateral Control of Networked Autonomous Vehi...

引用

International Conference on Control, automation and Robotics (ICCAR)

作者： Sheng Han Hong Zhu Gangming Zhang Kaibo Shi Jun Cheng Shouming Zhong Qishui Zhong School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Glasgow College University of Electronic Science and Technology of China Chengdu China School of Electronic Information and Electrical Engineering Chengdu University Chengdu China School of Mathematics and Statistics Guangxi Normal University Guilin China School of Mathematics Sciences University of Electronic Science and Technology of China Chengdu China School of Aeronautics and Astronautics University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798350373172

ISBN: (纸本)9798350373189

This paper contributes to establishing a quantized fuzzy lateral control scheme for the networked autonomous vehicle (NAV) with external disturbance and actuator fault. In order to ensure the robustness of the NAV system, Gaussian function is used as the radial basis of the neural network (NN) to approximate the unknown nonlinear disturbance signal. In addition, the quantization mechanism of measurement output is introduced to reduce communication overhead and simplify state observation procedure. Considering the difficulty of obtaining the state of moving vehicle, an adaptive NN observer is presented to estimate the unknown system state. Furthermore, the convergence analysis is carried out regarding the designed state observer and the weight updating law of NNs, which promotes the derivation of sufficient boundedness conditions for the NAV system. Finally, we provide an example to illustrate the effectiveness and performance of the designed NN-based control and observation strategy.

关键词： Actuators Adaptive systems Quantization (signal) Artificial neural networks Observers Robustness Mobile robots

来源：评论

学校读者我要写书评

暂无评论

Intelligent Fault Diagnosis of nuclear grade Electric Equipment Based on Quantum Genetic Support Vector Machine

Intelligent Fault Diagnosis of Nuclear grade Electric Equipm...

引用

Data Driven Control and Learning Systems (DDCLS)

作者： Zhilong Liu Tongxi Li Minggang Li Changhua Nie Li Zhan Lele Zhao Zhang-Chun Tang Institute of Reactor Power Engineering Nuclear Power Institute of China Chengdu China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China School of Automation Guangdong University of Technology Guangzhou China

nuclear grade electric equipment is the key operating equipment of reactors in nuclear islands, and its reliable operation is a prerequisite to guarantee the operation of nuclear reactors. In order to effectively diagnose the faults of nuclear grade electric equipment, an intelligent fault diagnosis method based on QGA-SVM (Quantum Genetic Support Vector Machine) for nuclear grade electric equipment is proposed. Firstly, EEMD (Ensemble Empirical Mode Decomposition) and vibration eigenvalues calculation are carried out for the vibration signals collected under normal operation state and different fault degrees of nuclear grade equipment. Secondly, power eigenvalues calculation is carried out for the power signals collected under normal operation state and different fault degrees of nuclear grade equipment. Then, QGA((Quantum Genetic algorithm) and SVM (Support Vector Machine) are established to build an intelligent fault diagnosis model for nuclear grade electric equipment, and the operation eigenvalues is used as model input parameters. The results show that the proposed algorithm can efficiently and intelligently diagnose the faults of nuclear grade electric equipment, and the proposed method has certain significance for the fault diagnosis of electric equipment in other fields.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：