触点接触电阻对塑壳断路器脱扣特性的影响分析数据

本数据聚焦于分析触点接触电阻对塑壳断路器脱扣特性的影响，揭示了接触电阻参数与断路器保护性能之间的量化关系，为公司（作为生产商）及外部相关方提供了重要的决策依据，具有显著的应用价值。具体体现在以下方面：
1.优化产品开发和生产工艺：公司可通过分析触点接触电阻对脱扣特性的影响，精准优化触点材料选择、表面处理工艺和压力控制标准，科学制定接触电阻控制范围，提升断路器在长期使用过程中的保护精度和稳定性。
2.推动行业科技进步：本数据可为断路器领域的科研人员和技术研发人员提供支持，帮助他们开展接触特性分析、温升效应预测和质量控制等工作，促进断路器在各类负载条件下的保护性能优化。​​1.数据采集实时记录不同触点接触电阻下的塑壳断路器脱扣时间测试数据，包括测试样品编号、测试时间、触点接触电阻/mΩ、脱扣时间/ms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中的脱扣时间字段，计算出其平均值。
3.​​计算线性回归斜率a和截距b
（1）基于数据集X（以触点接触电阻为自变量、脱扣时间为因变量），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。
（2）斜率a表示每1mΩ触点接触电阻变化对脱扣时间的影响程度，截距b表示基准接触电阻下塑壳断路器的脱扣时间值。
4.结果运用
（1）计算比例系数k：k=|a/脱扣时间平均值|×100%。（2）若k≥8%，则判定为“高影响”，若3%≤k＜8%，则判定为“中影响”，若k＜3%，则判定为“低影响”。

This dataset focuses on analyzing the impact of contact resistance on the tripping characteristics of molded case circuit breakers (MCCBs), and reveals the quantitative relationship between contact resistance parameters and the protection performance of circuit breakers. It provides important decision-making basis for the company (as the manufacturer) and external stakeholders, and has significant application value. Its value is specifically reflected in the following aspects:
1. Optimize product development and production processes: The company can accurately optimize the selection of contact materials, surface treatment processes and pressure control standards by analyzing the impact of contact resistance on tripping characteristics, scientifically formulate the control range of contact resistance, and improve the protection accuracy and stability of circuit breakers during long-term use.
2. Promote scientific and technological progress in the industry: This dataset can provide support for researchers and technical R&D personnel in the field of circuit breakers, helping them carry out work such as contact characteristic analysis, temperature rise effect prediction and quality control, and promoting the optimization of circuit breaker protection performance under various load conditions.

1. Data Collection: Real-time recording of tripping time test data of molded case circuit breakers under different contact resistance conditions, including fields such as test sample number, test time, contact resistance (unit: mΩ), and tripping time (unit: ms).
2. Data Preprocessing
(1) Denoise the collected data to ensure data accuracy.
(2) Aggregate the collected historical data (including this batch of collected data) to form dataset X, and calculate the average value of the tripping time field in dataset X.
3. Calculation of Linear Regression Slope a and Intercept b
(1) Based on dataset X (with contact resistance as the independent variable and tripping 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.
(2) Slope a represents the degree of impact of a 1 mΩ change in contact resistance on tripping time, and intercept b represents the tripping time value of the molded case circuit breaker under the reference contact resistance.
4. Result Application
(1) Calculate the proportional coefficient k: k = |a / average tripping time| × 100%.
(2) If k ≥ 8%, it is classified as "high impact"; if 3% ≤ k < 8%, it is classified as "medium impact"; if k < 3%, it is classified as "low impact".

搜集汇总

背景与挑战

背景概述

该数据集聚焦于触点接触电阻对塑壳断路器脱扣特性的影响，包含552条测试数据，通过线性回归分析量化了接触电阻与脱扣时间的关系，并提供了判定影响程度的比例系数k。数据可用于优化产品开发和生产工艺，以及推动行业科技进步。