基于转移稀疏表示和双残差比阈值的局部放电信号压缩重建方法

IF 1.4 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Shice Zhao, Hongshan Zhao, Ma Libo, Qu Yuehan, Ren Hui
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引用次数: 0

摘要

局部放电(PD)信号具有大量的数据和低能量比例的脉冲信号,导致数据传输困难和重建效率差。为此,提出了一种基于转移稀疏表示和双残差比阈值(TSR-DRRT)的局部放电信号压缩重建方法。TSR-DRRT以稀疏表示(SR)和噪声信号的精确重建为中心。通过信号分解提取PD信号的固有脉冲,并与不同类型的信号联合训练,建立转移SR字典。压缩信号通过改善字典原子和多态PD脉冲之间的匹配,准确地保留了脉冲信息的基本特征。为了匹配传输SR字典,在重建过程中基于字典和信号帧之间的相关性差自适应地设置内部和外部DRRT迭代终止条件。实现了对局部放电脉冲识别和重建精度的独立控制,提高了其在噪声信号下的性能。结果表明,该方法可以实现对噪声信号的高压缩比和高效重构。不同类型的PD信号也可以具有高的匹配精度。该方法可以满足局部放电信号压缩和传输到终端进行精确重建的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Partial discharge signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold

Partial discharge signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold

Partial discharge (PD) signals have a large amount of data and a low energy proportion of pulse signals, resulting in difficult data transmission and poor reconstruction efficiency. To this end, a PD signal compression reconstruction method based on transfer sparse representation and dual residual ratio threshold (TSR-DRRT) is proposed. TSR-DRRT is centred on the sparse representation (SR) and accurate reconstruction of noisy signals. The intrinsic pulse of PD signals is extracted by signal decomposition, and jointly trained with different types of signals to establish the transfer SR dictionary. The compressed signal accurately retains the essential characteristics of the pulse information by improving the match between the dictionary atoms and the polymorphic PD pulses. To match the transfer SR dictionary, the inner and outer DRRT iteration termination conditions are set adaptively during the reconstruction process based on the correlation difference between the dictionary and signal frames. Independent control of PD pulse recognition and reconstruction accuracy is achieved, and its performance under noisy signals is improved. The results show that the method can achieve high ratio compression and efficient reconstruction of noisy signals. Different types of PD signals can also have high matching accuracy. This method can meet the demand for PD signals compression and transmission to the terminal for accurate reconstruction.

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来源期刊
Iet Science Measurement & Technology
Iet Science Measurement & Technology 工程技术-工程:电子与电气
CiteScore
4.30
自引率
7.10%
发文量
41
审稿时长
7.5 months
期刊介绍: IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.
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