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Denoising Algorithm for Pulsed Eddy Current Response Signals Based on Empirical Mode Decomposition 16

Denoising Algorithm for Pulsed Eddy Current Response Signals...

引用

16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Luo, Bin Shi, Yibing Zhang, Wei Li, Yanjun School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

Pulsed eddy current (PEC) non-destructive testing has been applied to damage detection of ferromagnetic pipelines due to its precise and pollution-free characteristics. Due to the complex environment in the oil well, the signal-to-noise ratio of the response signal is low. To address this issue, this paper uses a denoising algorithm based on improved empirical mode decomposition (EMD) method to process the measured signal, and build an experimental platform for testing. The experimental result shows that this method can significantly improve the signal-to-noise ratio of the eddy current response signal and reduce the error between the measured signal and the results calculated by the analytical solution model. © 2023 IEEE.

关键词： Empirical mode decomposition

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Pulse Signal Synthesis Scheme Based on Sub-Band Decomposition 16

Pulse Signal Synthesis Scheme Based on Sub-Band Decompositio...

引用

16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Zou, Lingwen Fu, Zaiming Kong, Dexuan Gao, Shuaihao Zan, Liyu School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

A pulse signal generator is an essential tool in electronic testing, which can generate pulse signals with adjustable amplitude, frequency, edge time, and pulse width. Ultra-low duty cycle pulse signals have extremely narrow pulse widths and usually have swift edge times, making them have ultra-wideband signals' characteristics. Such a situation undoubtedly puts higher requirements on the performance indicators of electronic measurement systems. Many existing integrated circuit processes limit the current electronic system and cannot condition and synthesize ultra-low duty cycle pulse signals. In this paper, we propose a pulse signal synthesis method based on the sub-band decomposition of pulse waveform to address the problem that the performance of devices in the signal conditioning channel cannot meet the conditioning of high-speed pulse signals, which effectively reduces the required bandwidth of the pulse waveform for electronic devices, fills the deficiency of the waveform conditioning system in the ultra-wide bandwidth problem, and minimizes the attenuation of the waveform frequency components. It has been shown experimentally that the pulse signal synthesis scheme based on sub-band decomposition is highly accurate. © 2023 IEEE.

关键词： Bandwidth

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Order Analysis Algorithm Based on Time-Domain Stretching and Its Logic Implementation 16

Order Analysis Algorithm Based on Time-Domain Stretching and...

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16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Wei, Yangbin Li, Hao Cao, Jiawei Luo, Guangkun Li, Xuyang Wang, Zhigang School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

To address the spectrum aliasing caused by the non-uniform and non-stationary characteristics of rotating machinery vibration signals in the field of dynamic signal analysis, this paper proposes a time-domain stretching based order analysis algorithm. This algorithm stretches the vibration signal in the time domain, which facilitates the frequency domain compression caused by the signal stretching in the time domain to reduce the frequency domain aliasing caused by the spectrum broadening caused by the characteristics of the vibration signal. At the same time, in order to deal with the unequal interval sampling caused by the signal stretching in time domain, this paper integrates the resampling principle of cubic spline interpolation into the algorithm, which improves the accuracy of order analysis. In addition, the implementation of this algorithm in Field Programmable Gate Array (FPGA) is described in detail. At the same time, this paper also uses simulation experiments to test each module inside the algorithm, and analyzes the accuracy of important steps such as cubic spline interpolation, which verifies the feasibility of the actual system. © 2023 IEEE.

关键词： Frequency domain analysis

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Fully-Adjustable Test Signal Generation Module with Multi-Functional Outputs 16

Fully-Adjustable Test Signal Generation Module with Multi-Fu...

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16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Gao, Shuaihao Fu, Zaiming Kong, Dexuan Zou, Lingwen Zan, Liyu School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

The development of digital technology has driven the progress of the digital field. As a result, the development and testing of these complex digital systems require integrated test equipment with various functions to perform various stages of testing to ensure the effectiveness and accuracy of the system. The digital test signal plays an indispensable role in the testing process of digital systems. It is widely used as a test excitation source in the field of time-domain measurements such as integrated circuit testing, bus testing, and electronic measure-ments. However, traditional digital test signal generators are pretty bulky and limited in terms of test signal options and functions. This makes them inadequate for handling complex test scenarios. In order to tackle the problems mentioned above, this paper proposes a new architecture of a fully adjustable multi-functional digital test signal generator based on Field-Programmable Gate Arrays (FPGA). This design approach reduces the use of hardware resources as well as integrates multiple digital test signal generation. Based on the proposed new design methodology, we have implemented a 16-channel digital test signal generator. The generator is capable of simulating a variety of digital test signal generation, and the 16 output channels can be independently controlled. Output digital test signal data rate is 1 kbit/s to 100 Mbit/s, adjustable resolution is 1 kbit/s. Customizable editing length 16 kbit/CH. Output signal supports voltage conditioning, output level range -1 V to +5 V, resolution 10 mV. And the rise time and fall time of the output signal can be adjusted. © 2023 IEEE.

关键词： Signal generators

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Pareto-Optimal Design of LTCL-RC Filter for High-Power Grid-Connected Voltage-Source Inverter 49

Pareto-Optimal Design of LTCL-RC Filter for High-Power Grid-...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Ma, Guangda Xie, Chuan Wang, Weijun Zou, Jianxiao School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350331820

In high-power applications, output filters are essential components of grid-connected inverters (GCIs) for filtering switching ripples. These filters are closely related to the electrical indexes and control performance of the GCI, including power density, efficiency, stability, etc. Therefore, they are often co-designed with constraints on electrical indexes and damping coefficients. However, damping coefficients can not provide sufficient stability conditions. To overcome it, this paper proposes a passivity-based multi-objective LTCL-RC filter design method. The proposed method can achieve passive output admittance at the full-frequency range to maintain a sufficient stability condition. To be specific, the Pareto optimization with respect to power density, efficiency and passivity is introduced to select parameters. Furthermore, a 4MW-GCI filter design example is provided to highlight its superiority over other state-of-the-art design methods, and the effectiveness of the proposed filter design approach in ensuring system stability is also verified on a scaled-down 1.4kW-VSI experimental prototype. © 2023 IEEE.

关键词： Multiobjective optimization

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Weak Signal Detection Method under Lévy Noise Based on Duffing Chaotic System and Fast Phase Judgment 16

Weak Signal Detection Method under Lévy Noise Based on Duff...

引用

16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Huang, Min Gao, Jinqi Wang, Yifan Qian, Lei Wang, Li School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

As modern scientific instrument technology improves by leaps and bounds, the noise reduction technology of underwater vehicle is constantly improved. The signal-to-noise ratio(SNR) received by the underwater acoustic collection system in complex marine noise environments is decreasing. Since the 1960s, the noise level of submarines has been reduced by 36dB. Traditional spectrum estimation and wavelet analysis methods are no longer able to meet the requirements. The Duffing chaotic oscillator(DCO) method has low SNR detection threshold and is insensitive to noise, making it suitable for underwater target detection with complex noise signals. However, existing DCO methods have complex system phase determination methods and are mostly validated using Gaussian noise. This paper presents a method based on FFT to quickly determine the phase state of DCO under the condition of weak single frequency signal. By using Lévy noise to simulate underwater noise background, the detection SNR can reach -15.7dB. Theoretically, the phase state determination can be completed in as fast as 35 seconds. In the case of large data volume, it has great engineering application advantages. © 2023 IEEE.

关键词： Signal to noise ratio

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Data-Flow Modeling of SDRAM with Bank Group in Sequential Access with Intermittent Address Jumps Mode 16

Data-Flow Modeling of SDRAM with Bank Group in Sequential Ac...

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16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Xiao, Gongbai Xiao, Yindong Liu, Ke Fu, Zaiming Wang, Houjun School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

As double data rate synchronous dynamic random-access memory (DDR SDRAM) iterations continue, the hardware response rate is unable to keep up with the increase in frequency. In order to fully utilize the bus, the Bank Group mechanism has been introduced into DDR SDRAM. DDR SDRAM itself, as a random-access memory, outputs data with suspension and randomness. The introduction of Bank Group has added new uncertainties to DDR SDRAM. The original data flow model of DDR SDRAM is no longer applicable to DDR SDRAM with Bank Group. In this paper, based on the original DDR SDRAM data flow model, we propose a data flow model for DDR SDRAM with Bank Group and derives a predictive formula for suspension time in response to the access characteristics of sequential access with intermittent address jumps mode, and its effectiveness and accuracy have been experimentally verified. © 2023 IEEE.

关键词： Data flow analysis

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Force Estimation-Based Adaptive Impedance Control for Lower-Limb Exoskeleton Robots With Disturbance

Force Estimation-Based Adaptive Impedance Control for Lower-...

引用

2023 IEEE International Conference on Unmanned Systems, ICUS 2023

作者： Sun, Yaohui Peng, Zhinan Hu, Jiangping Li, Wenjiang School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350316308

In this paper, considering that many robotic systems in rehabilitation applications that are not equipped with force/torque sensors at their physical interaction points, an adaptive impedance control strategy for exoskeleton robots is proposed based on the interaction force estimation. The external disturbance is considered, and a novel controller consisting of a disturbance observer is given. The radial basis function neural network (RBFNN) is used to estimate the interaction forces, an update law for online adjustment of the neural network weights is proposed, which allows the estimation accuracy to be guaranteed even when the interaction forces change. The system's stability is examined through the application of Lyapunov methods, followed by the execution of simulations for validation. © 2023 IEEE.

关键词： Lyapunov methods

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Threat Detection of Internet of Things Based on Machine Learning 4

Threat Detection of Internet of Things Based on Machine Lear...

引用

4th IEEE Annual Flagship India Council International Subsections Conference, INDISCON 2023

作者： Fu, Xinghao School of Automation Engineering University of Electronic Science and Technology of China chengdu China

ISBN: (纸本)9798350333558

The research on threat detection of the Internet of Things based on machine learning aims to find out effective ways or methods that can be used to detect threats and vulnerabilities in Internet of Things devices. This research will help add security features to IoT devices. The main goal of this research is to detect any type of malicious activities that hackers and other network criminals use intelligent gadgets, appliances, etc. The main motivation behind this project is to improve users' trust in Internet of Things devices. This will also help them control their privacy by preventing unauthorized access, which is achieved through such attacks, and provide more secure information sharing between different entities involved in the IoT system. Therefore, if all interested parties can rely on such algorithms, it is to protect our network from any type of network attacks and malicious activities. © 2023 IEEE.

关键词： Network security

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A Fast Spectral Analysis Method Based on Sparse Signals in Frequency Domain 16

A Fast Spectral Analysis Method Based on Sparse Signals in F...

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16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Chen, Li Ming, Ruiyuan Zhao, Yu Li, Chengyang Lei, Maolin Ye, Peng Yang, Kuojun School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350327144

In the oscilloscope for electronic testing, the traditional fast Fourier transform (FFT) faces problems such as high computational complexity, low frequency resolution, and unsuitability for sparse signals. To solve these problems, we propose a spectrum analysis method based on sparse Fourier transform (SFT). SFT is a new algorithm that uses the characteristics of the signal itself to obtain the signal spectrum, which is more efficient than the traditional FFT12. The main steps of SFT include spectrum rearrangement, filtering, subsampled FFT, localization and evaluation13. We use the theoretical framework of SFT to design a spectrum analysis method suitable for oscilloscopes, breaking through the limitations of the spectrum analysis function on the number of operation points in the existing system, and greatly improving the efficiency in sparse signal testing. We verify the effectiveness and superiority of our method through experiments and look forward to its application prospects in the field of electronic testing. © 2023 IEEE.

关键词： Spectrum analysis

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