电弧持续时间对接触器灭弧能力的影响分析数据

本数据聚焦于分析电弧持续时间对接触器灭弧能力的影响，揭示了电弧持续时间与灭弧能力之间的量化关系，为公司（作为生产商）及外部相关方提供了关键的决策依据，具有重要的应用价值。具体体现在以下方面：
1.优化快速灭弧系统设计：公司可通过分析不同电弧持续时间对灭弧能力的影响规律，精确改进磁吹系统参数和灭弧室结构，在保证介质充分去游离的同时最大限度缩短燃弧时间，显著降低电弧能量积累。
2.推动快速灭弧技术创新：本数据可为电弧动态研究领域的研发人员提供支撑，助力其研究时间参数与等离子体特性的关联机制，开发新型快速灭弧技术，推动灭弧技术向超快速方向发展。1.数据采集：实时记录不同电弧持续时间下的接触器灭弧能力测试数据，包括测试样品编号、测试时间、电弧持续时间/ms、灭弧时间/s等字段。
2.数据预处理：（1）对采集的数据进行去噪处理，确保数据准确性。（2）将历史采集的数据（包含本次采集）进行聚合，形成数据集X，并针对数据集X中的灭弧时间字段，计算出其平均值。
3.计算线性回归斜率a和截距b:基于数据集X（以电弧持续时间为自变量、灭弧时间为因变量），运用SLOPE函数，基于最小二乘法原理确定斜率a，运用INTERCEPT函数确定截距b。斜率a表示单位单位电弧持续时间变化对接触器灭弧时间的影响程度，截距b表示基准电弧持续时间下接触器的灭弧时间值。
4.结果运用：（1）计算比例系数k：k=|a/灭弧时间平均值|×100%；（2）若k≥10%，则判定为“高影响”，若5%≤k＜10%，则判定为“中影响”，若k＜5%，则判定为“低影响”。

This dataset focuses on analyzing the impact of arc duration on the arc-extinguishing capability of contactors, and reveals the quantitative relationship between arc duration and arc-extinguishing capability. It provides critical decision-making basis for the company (as a manufacturer) and external stakeholders, and holds important application value, which is specifically reflected in the following aspects:
1. Optimizing the design of fast arc-extinguishing systems: The company can accurately adjust the parameters of the magnetic blow system and the structure of the arc-extinguishing chamber by analyzing the influence law of different arc durations on arc-extinguishing capability. While ensuring sufficient deionization of the medium, it can minimize the arcing time and significantly reduce the accumulation of arc energy.
2. Promoting technological innovation in fast arc-extinguishing: This dataset can provide support for researchers in the field of arc dynamic research, helping them study the correlation mechanism between time parameters and plasma characteristics, develop new fast arc-extinguishing technologies, and promote the development of arc-extinguishing technology towards the ultra-fast direction.
1. Data collection: Real-time recording of test data on the arc-extinguishing capability of contactors under different arc durations, including fields such as test sample number, test time, arc duration (unit: ms), and arc-extinguishing time (unit: s).
2. Data preprocessing: (1) Denoise the collected data to ensure data accuracy. (2) Aggregate the historically collected data (including this batch of collected data) to form dataset X, and calculate the average value of the arc-extinguishing time field in dataset X.
3. Calculation of linear regression slope a and intercept b: Based on dataset X (with arc duration as the independent variable and arc-extinguishing time as the dependent variable), use the SLOPE function to determine the slope a based on the principle of least squares, and use the INTERCEPT function to determine the intercept b. The slope a represents the degree of influence of per unit change in arc duration on the arc-extinguishing time of contactors, and the intercept b represents the arc-extinguishing time value of the contactor under the reference arc duration.
4. Result application: (1) Calculate the proportional coefficient k: k = |a / average arc-extinguishing time| × 100%; (2) If k ≥ 10%, it is judged as "high impact"; if 5% ≤ k < 10%, it is judged as "medium impact"; if k < 5%, it is judged as "low impact".

搜集汇总

背景与挑战

背景概述

该数据集记录了电弧持续时间对接触器灭弧能力的影响，包含590条测试数据，用于优化灭弧系统设计和推动技术创新。