基于Savitzky-Golay滤波的机器学习高压断路器缺陷分类

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sajjad Asefi;Soheil Asefi;Hossein Afshari;Jako Kilter;Ebrahim Shayesteh;Patrik Hilber;Tommie Lindquist
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引用次数: 0

摘要

高压断路器(hvcb)是电力系统中保持可靠运行的关键部件。对高压断路器进行准确的状态监测对降低维护成本、提高电网可靠性至关重要。然而,用低成本的测量设备来实现这一目标,往往会提供嘈杂的信号,这是一个重大的挑战。本文提出了一种新的高压断路器缺陷分类框架,该框架使用Savitzky-Golay滤波器对最常见的状态监测信号——跳闸/闭合线圈电流进行预处理。该滤波器以在保持关键信号特征的同时去噪而闻名。在信号预处理之后,引入了一种鲁棒缺陷检测和分类方法,将时间序列相似性评估技术(如欧几里得距离和动态时间翘曲(DTW))与机器学习(ML)算法相结合。此外,还设计了一个实验装置来模拟高压断路器线圈机构的行为。为了进一步提高模型的透明度,应用Shapley加性解释(SHAP)分析,为模型决策提供特征贡献的可解释性。所得结果验证了所提出的混合方法的有效性,表明其有潜力为高压断路器状态监测提供经济、准确和可靠的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning-Based High-Voltage Circuit Breaker Defect Classification Utilizing Savitzky–Golay Filter
High-voltage circuit breakers (HVCBs) are critical components in power systems to maintain reliable operation. Accurate condition monitoring of HVCBs is vital to reduce maintenance costs and consequently to enhance the grid reliability. However, achieving this with low-cost measurement devices, which often provide noisy signals, poses a significant challenge. In this article, a novel defect classification framework for HVCBs is proposed that uses the Savitzky–Golay filter to preprocess the most common condition monitoring signal, which is the trip/close coil current. This filter is well-known for denoising while preserving critical signal features. Following signal preprocessing, a robust defect detection and classification methodology is introduced, combining time-series similarity assessment techniques, such as Euclidean distance and dynamic time warping (DTW), with machine learning (ML) algorithms. Moreover, an experimental setup is designed to emulate the behavior of an HVCB’s coil mechanism. To further enhance the model transparency, Shapley additive explanations (SHAP) analysis is applied, providing interpretability into feature contributions toward model decisions. The obtained results validate the effectiveness of the proposed hybrid approach, demonstrating its potential to provide a cost-effective, accurate, and reliable solution for HVCB condition monitoring.
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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