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检索条件"机构=Dalian Scientific Test and Control Technology Institute of Cssc"

共 169 条记录，以下是1-10 订阅

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A Blind Separation Method for Frequency Characteristics of Steady Noise in Water 5

A Blind Separation Method for Frequency Characteristics of S...

引用

5th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2023

作者： Yu, Huang Dalian Scientific Test and Control Technology Institute of Cssc Dalian China

ISBN: (纸本)9798350333442

When using the FastICA algorithm for blind signal separation, if the time delay of the signals is considered, the mixed signals are convolution superposition between independent signals. At this time, the FastICA algorithm cannot accurately separate the original independent signals. Limited by the speed of underwater acoustic signals, the time delay of underwater signals cannot be ignored. In this paper, a blind separation method for frequency characteristics of steady noise in water is proposed. Through simulation and experimental verification, it can separate the frequency characteristics of mixed underwater acoustic signals without knowing the source signal and propagation channel. © 2023 IEEE.

关键词： Independent component analysis

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Underwater Transient Noise Duration Estimation Method Based on the Page test

Underwater Transient Noise Duration Estimation Method Based ...

引用

2024 OES China Ocean Acoustics, COA 2024

作者： Zhang, Qin-Chuan Liu, Yan-Sen Yang, Wang Dalian Scientific Test and Control Technology Institute Dalian China Dalian Scientific Test and Control Technology Institute Science and Technology on Underwater Test and Control Laboratory Dalian China

ISBN: (纸本)9798350340297

The underwater transient noise radiated by ships provides rich target information and is the focus of target acoustic characteristics analysis. The duration is a crucial representation parameter of the time-domain envelope. The Page test is an effective method for detecting transients, as it can be used to estimate the starting time of the transient. Hence, in this study, the ending time of the transient is estimated by performing time-domain reversal on the signal. In addition, in a low-signal-to-noise ratio environment, wavelet noise reduction pre-processing is introduced to improve the estimation effect and then to estimate the duration of transient noise. The simulation verification results reveal that this method can accurately estimate the duration of underwater transient noise and can also ensure high accuracy in low-signal-to-noise ratio environments. © 2024 IEEE.

关键词： Electromagnetic transients

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Optimization Design of Impedance Matching Circuit of Piezoelectric Ultrasonic Transducer 24

Optimization Design of Impedance Matching Circuit of Piezoel...

引用

8th International Conference on Electronic Information technology and Computer Engineering, EITCE 2024

作者： Yang, Shanshan Chen, Changjiu Zheng, Xuan Zheng, Junge Dalian Scientific Test and Control Technology Institute Liaoning Dalian China

ISBN: (纸本)9798400710094

In response to the optimization design of the matching circuit of piezoelectric ultrasonic transducers, this paper takes battery powered small integrated soar as an example to explore the optimization design method of piezoelectric ultrasonic transducer impedance matching circuit. Firstly, the working principle of battery powered small integrated soar and its piezoelectric ultrasonic transducer was introduced, and the impact of the impedance matching characteristics of the piezoelectric ultrasonic transducer on power transmission efficiency was introduced. Secondly, based on the traditional impedance matching model, an optimized impedance matching method of piezoelectric ultrasonic transducers is proposed. Finally, the optimization method was experimentally validated. The experimental results show that the impedance matching circuit designed using optimization methods can reduce the reactive power loss of piezoelectric ultrasonic transducers, which is of great significance for achieving maximum power transmission of sonar transmitters, improving transmission efficiency, and obtaining better signal-to-noise ratio. © 2024 Copyright held by the owner/author(s).

关键词： Ultrasonic transducers

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Research on feature extraction and classification algorithm of Marine environmental noise based on deep learning 4

Research on feature extraction and classification algorithm ...

引用

4th IEEE International Conference on Electronic technology, Communication and Information, ICETCI 2024

作者： Yang, Song Bo, Liu Zhenwang, Lv Zhaoran, Meng Zixin, Wang Dalian Scientific Test and Control Technology Institute Dalian China

ISBN: (纸本)9798350361643

In the field of feature extraction and classification of Marine environmental noise, an innovative research work deeply integrates Long Short-Term Memory (LSTM) neural network with Variational Quantum Algorithms (VQA). This builds a new hybrid model known as Long Short Quantum Algorithms Memory (LSQAM). The aim of this research is to solve the problem of feature extraction and classification of high-dimensional and nonlinear noise signals in complex Marine environments. As a special type of recurrent neural network, LSTM has significant advantages in processing sequence data and capturing time-dependent relationships, and is especially suitable for analyzing Marine environmental noise signals containing long-term correlation and dynamic change characteristics. Through its unique gating mechanism, LSTM is able to efficiently store long-term information and filter out irrelevant interference, thereby extracting key spatio-temporal features from noisy signals. However, in the face of increasing data dimensions and highly complex noise patterns, traditional LSTM models may be limited by low computational efficiency and insufficient model generalization ability. To overcome these challenges, researchers introduce variable component subalgorithms. By making full use of the parallel computing power and quantum entanglement effect of quantum computers, VQA can significantly improve the solving speed of specific optimization problems, and show unique advantages for processing large-scale high-dimensional data. LSQAM model cleverly combines the advantages of LSTM and VQA. LSTM is responsible for extracting and capturing important local and global spatiotemporal features from the original ocean noise signals. Then, variable component subcircuits are used to encode and compress the high-dimensional features extracted by LSTM efficiently. At the same time, the feature space is deeply explored and optimized by combining quantum optimization algorithms to improve the learning effi

关键词： Extraction

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Research on Vibration Signal Diagnosis Platform System Based on Computer Fuzzy Logic 4

Research on Vibration Signal Diagnosis Platform System Based...

引用

4th IEEE International Conference on Electronic technology, Communication and Information, ICETCI 2024

作者： Bo, Liu Yang, Song Zhenwang, Lv Zhaoran, Meng Dalian Scientific Test and Control Technology Institute Dalian China

ISBN: (纸本)9798350361643

An on-line vibration detection method for power transformers is introduced. This design includes sensor module, real-time processing module, PC module. The sensor module collects the vibration, voltage, load voltage and other signals of the motor and transmits them to the processing unit on site. The real-time processing module transmits the processed information to the PC for display, storage, analysis and other functions. A real-time monitoring system for power transformer vibration based on virtual instrument /Compact RIO is developed. A new signal detection algorithm is established by combining wavelet energy information entropy theory with SVM. A frequency domain analysis algorithm based on wavelet analysis is proposed. The normalized feature vector is the input signal of support vector machine. Then a support vector machine (SVM) multi-classifier model based on multi-class learning is proposed. Experimental results show that the SVM classifier proposed in this paper has high classification accuracy under multiple working conditions of power transformer. © 2024 IEEE.

关键词： Pattern recognition

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Design of an acoustic direction finding system based on split array frequency domain beamforming algorithm

Design of an acoustic direction finding system based on spli...

引用

2023 International Conference on Frontiers of Ocean Science and technology, ICFOST 2023

作者： Gao, Qingze Xia, Shixuan Yu, Fan Dalian Scientific Test & Control Technology Institute Dalian China

According to the technical requirement, the principle of the acoustic direction finding and positioning algorithm is introduced, and based on the engineering implementation requirements of split array frequency domain beam forming algorithm, a hardware implementation method based on FPGA +DSP is introduced, which use FPGA to realize the logic control and two pieces of MS320C6678 multi-core DSP to realize the digital beam forming. The hardware system design scheme can realize the program-controlled amplification, filtering, collection, real-time data storage and beam forming processing of the multi-channel acoustic analog signals for acoustic receiving array. At the same time, it can also communicate with the upper computer to achieve upper computer instructions, data transmission, and parameter settings. It has been verified through engineering practice that this scheme has high data processing efficiency and reliable direction finding calculation effect. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Digitial Modeling technology for Sea test Site

Digitial Modeling Technology for Sea Test Site

引用

2024 International Conference on Telecommunications and Power Electronics, TELEPE 2024

作者： Yu, Ziyang Jin, Shunqi Zhang, Hongseng Wei, Yubo Dalian Scientific Test and Control Technology Institute Dalian China

ISBN: (纸本)9798350369212

Given the particularity of marine equipment testing, its difficulty and presentation form are relatively complex, and the application of related technologies is limited by issues such as modeling accuracy and data credibility. Combined with the traditional map projection method, research the conversion method of the locator's measured latitude and longitude to the UE4 world coordinates, so as to realize the positioning of the virtual ship in the 3D model of the sea test site. And this paper combines the existing marine environment model and measured data of sea measurement facility, combined with the digital twin five dimensional model, with UE4 as the main development environment, a twin modeling method for sea test sites has been proposed, relying on GIS spatial data and the actual situation of sea measurement facility. It is realized virtual and real mapping between virtual space and real space corresponding to the sea measurement facility. © 2024 IEEE.

关键词： Ship testing

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Research on Vibration Signal Classification and Recognition System Based on Computer Deep Learning technology 4

Research on Vibration Signal Classification and Recognition ...

引用

4th IEEE International Conference on Electronic technology, Communication and Information, ICETCI 2024

作者： Fuxiang, Yu Zhenwang, Lv Zhaoran, Meng Bo, Liu Dalian Scientific Test and Control Technology Institute Dalian China

ISBN: (纸本)9798350361643

Reducing equipment downtime by detecting function decay signals. Then the fault feature recognition technique of vector extreme learning machine is proposed. The mixed singular value decomposition method based on wavelet transform can effectively extract the vibration signal features containing impact noise. Finally, the obtained eigenmatrix is normalized and sent to the extreme learning machine for recognition. A representative sample of training was tested and the results showed that the accuracy of each training method improved. By comparing with BP neural network and support vector machine, the advantages of this algorithm in recognition accuracy and training speed are verified. Based on vibration analysis of intelligent fault diagnosis, BP neural network is used to extract eigenvalues of each type of fault to obtain diagnosis results of each type of fault. The results show that this method can identify the fault type effectively with high accuracy. The results show that the algorithm can accurately identify different fault types and fault degrees of equipment, and improve the reliability of equipment operation. © 2024 IEEE.

关键词： Vibration analysis

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Vertical Array Cable Jitter Noise Suppression Method using Frequency Vertical Wavenumber Spectral Filtering

Vertical Array Cable Jitter Noise Suppression Method using F...

引用

2024 OES China Ocean Acoustics, COA 2024

作者： Li, Peng Che, Shuwei Liu, Yu Zhao, Xingchen Science and Technology on Underwater Test and Control Laboratory Dalian Scientific Test and Control Technology Institute Dalian China

ISBN: (纸本)9798350340297

The proposed method suppresses low-frequency cable vibration noise in a vertical array acoustic observation system using the frequency vertical wavenumber spectrum. Initially, the frequency wavenumber spectrum is extracted from the data collected from the vertical array via vertical wavenumber-depth transformation. A frequency wavenumber domain filter is designed according to the sound wave speed in the cable, and cable interference is filtered out. The signal is restored via vertical wavenumber-depth inverse transformation. The simulation results show that under the simulation conditions described herein, low-frequency line spectra such as 30 and 60 Hz can achieve a signal-to-noise ratio improvement of >1.2dB. © 2024 IEEE.

关键词： Signal to noise ratio

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Unsteady Narrowband Spectrum Enhancement Method of Ship Noise Using PSO and Stochastic Resonance Processing

Unsteady Narrowband Spectrum Enhancement Method of Ship Nois...

引用

2024 OES China Ocean Acoustics, COA 2024

作者： Yang, Wang Yan-Sen, L.I.U. Feng-Ming, W.U. Dalian Scientific Test and Control Technology Institute Science and Technology on Underwater Test and Control Laboratory Dalian China

ISBN: (纸本)9798350340297

To enhance the unsteady narrowband spectrum of ship noise, an unsteady narrowband stochastic resonance processing method based on particle swarm optimization (PSO) was proposed. The method adopts a bistable stochastic resonance model and takes the mean signal-to-noise ratio in the narrowband bandwidth as the fitness function;it can perform adaptive optimal selection of system parameters matching the narrowband spectrum and background noise and can enhance the narrowband spectrum signal. According to the flow of the algorithm, the simulated unsteady narrowband spectrum and the measured ship noise data are processed and analyzed. The results show that this method can easily adapt to the characteristics of the narrowband ship spectrum and enhances a weak narrowband spectrum;it has broad research prospects and good application value. © 2024 IEEE.

关键词： Circuit resonance

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