Investigation of Static and Dynamic Analysis of Asynchronous Motors in the Cement Industry

Hayrullah Çağtay Alkaya, S. Görgülü
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Abstract

Today, with the developing technology, it is important to establish facilities suitable for industry 4.0 in order to reduce CO2 emissions in factories, ensure efficiency, and automatically monitor the systems. Cement Factories are at the forefront of energy-intensive sectors. The cement industry is constantly focused on production, high energy demand and unforeseen failures lead to high-cost loss and systemic crises with the decrease in production/sales targets. Predictive maintenance, which is one of the maintenance methods, is aimed to solve the problems by determining the failure sources that may occur economically by examining and analyzing the physical parameters such as vibration, temperature, frequency changes, amperes, and spectra of the asynchronous motors in the field in trend data. In this study, dynamic and static analysis of large power asynchronous motors with a stator voltage of 6300V in cement plants are analyzed with the help of advanced measuring instruments. As a result of the analyses, a general evaluation study was carried out on the actions to be implemented in the maintenance plan by identifying the types of failures that may occur in advance.
水泥工业用异步电动机静、动态分析研究
今天,随着技术的发展,为了减少工厂的二氧化碳排放,确保效率,并自动监控系统,建立适合工业4.0的设施非常重要。水泥厂处于能源密集型行业的前沿。水泥行业一直专注于生产,高能源需求和不可预见的故障导致高成本损失和系统性危机,生产/销售目标下降。预测性维修是一种维修方法,其目的是通过对现场异步电动机的振动、温度、频率变化、安培、频谱等物理参数的趋势数据进行检查和分析,经济地确定可能发生的故障来源,从而解决问题。本研究利用先进的测量仪器,对水泥厂定子电压为6300V的大功率异步电动机进行了动态和静态分析。作为分析的结果,通过提前识别可能发生的故障类型,对维修计划中要实施的行动进行了一般评估研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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