An integrated study for solving high vibration problem of a deep well turbine pump

Q3 Engineering

Diagnostyka Pub Date : 2023-05-13 DOI:10.29354/diag/166096

Dalia M. El- Gazzar

引用次数: 0

Abstract

In this study, a deep well vertical turbine pump experienced extremely high vibrations for a long time although it still being new. It hasn't been in operation for over 6 months. A novel strategy is implemented by using well-conceived techniques. The experimental modal analysis is confirmed a presence of a natural frequency.Modifications are carried out to overcome resonance. Finite element analysis is applied to determine the reed critical frequencies as a powerful tool to identify and mitigate vibration issues.On-site motor balancing is done to remove vibrations due to the residual imbalance. Results reveal decreasing vibration level by about 8% after solving all problems.

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解决深井涡轮泵高振动问题的综合研究

在本研究中，深井立式涡轮泵虽然是新泵，但在很长一段时间内经历了极高的振动。它已经运行了6个多月了。通过使用精心构思的技术，实现了一种新颖的策略。实验模态分析证实了固有频率的存在。进行修改以克服共振。有限元分析用于确定簧片的临界频率，作为识别和减轻振动问题的有力工具。现场电机平衡是为了消除由于残余不平衡而产生的振动。结果表明，在解决所有问题后，振动水平降低了约8%。

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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来源期刊

Diagnostyka Engineering-Mechanical Engineering

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.