Cryogenic Pumps Monitoring, Diagnostics and Expert Systems Using Motor Current Signature Analyses and Vibration Analyses

P. Popaleny, N. Peton
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引用次数: 4

Abstract

The paper discusses the Cryogenic Pumps Condition Monitoring and Machinery Diagnostics Systems, including the automated Expert Diagnostics Systems. The Cryogenic Pump construction differs by design, failure modes and criticality and no single solution will suit all designs. Therefore, two approaches are discussed: Motor Current Signature Analyses and Vibration Analyses. The paper further shows the real case studies, diagnostics and findings on Cryogenic Pumps using both analyses. The article addresses common failure types and proposes applicable solutions. The Cryogenic Pumps mechanical and electrical malfunctions are discussed, their reflection on the dynamic current spectrum using improved Motor Current Signature Analysis (MCSA), aka. Model-Based Voltage and Current (MBVI) Analyses and vibration spectrum using Vibration Analyses (VA). The article contrasts the similarities vs. differences and advantages vs. disadvantages of both methods and may be of value for field engineers to understand the pros. and cons. of each technology. The paper outlines the Expert Diagnostics System based on MBVI, able to distinguish automatically among different malfunctions. The Expert System uses the power spectral density of the difference between the expected current obtained from the model and the actual current. These differences include only abnormalities generated by the motor anomaly. Therefore, they are immune to the noise or harmonics present in the supply voltages. The presented results, using both approaches: Model-Based Voltage and Current Analyses and Vibration Analyses, prove the potential of both techniques and the advantages of their combined use for reaching a maximum reliable Condition Monitoring and Diagnostics of Cryogenic Pumps.
使用电机电流特征分析和振动分析的低温泵监测、诊断和专家系统
本文讨论了低温泵状态监测和机械诊断系统,包括自动化专家诊断系统。低温泵的结构因设计、失效模式和临界程度而异,没有一种解决方案适用于所有设计。因此,讨论了两种方法:电机电流特征分析和振动分析。本文进一步展示了使用这两种分析对低温泵进行的真实案例研究、诊断和发现。本文讨论了常见的故障类型并提出了适用的解决方案。本文讨论了低温泵的机械和电气故障,并利用改进的电机电流特征分析(MCSA)对其动态电流谱进行了反映。基于模型的电压和电流(MBVI)分析和使用振动分析(VA)的振动谱。本文对比了这两种方法的异同和优缺点,可能对现场工程师了解其优点有价值。以及每种技术的缺点。本文概述了基于MBVI的专家诊断系统,该系统能够自动区分不同的故障。专家系统利用从模型中得到的期望电流与实际电流之差的功率谱密度。这些差异仅包括由运动异常引起的异常。因此,它们不受电源电压中存在的噪声或谐波的影响。采用基于模型的电压和电流分析和振动分析两种方法的结果,证明了这两种技术的潜力和它们结合使用的优势,以达到最可靠的低温泵状态监测和诊断。
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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