Application of Multi-Dimensional Hill Chart in the Condition Monitoring and Cost Estimation of the Francis Turbine Unit

Author:

Jian Bin1,Zhao Weiqiang2ORCID,Guo Rongfu1,Chen Shuping1,Xia Ming3ORCID,Wang Zhengwei3

Affiliation:

1. Xinhua Hydropower Co., Ltd., Beijing 100704, China

2. PowerChina Renewable Energy Co., Ltd., Beijing 100101, China

3. Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China

Abstract

With a large-range-operation head, the Francis turbine unit is the most widely used type of hydraulic turbine in the world. The general range of the Francis turbine is 20–700 m. Because of this, the operating stability of the Francis turbine needs to be focused on. In this paper, a multi-dimensional hill chart is applied to a low-head Francis turbine unit to describe its vibration characteristics. Firstly, a field test was conducted on the unit in order to obtain vibration data under different operating conditions. Secondly, the condition indicators were calculated and extracted from the experimental data. Then, the condition indicators under different head values and outputs were fitted to form a multi-dimensional hill chart. In the end, the vibration characteristics of the researched low-head Francis turbine unit were analyzed based on the multi-dimensional hill chart.

Publisher

MDPI AG

Reference25 articles.

1. Experimental and Numerical Studies for a High Head Francis Turbine at Several Operating Points;Trivedi;J. Fluids Eng.,2013

2. Design and Numerical Study of a Pump-Turbine for Retrofitting of an Existing Francis Turbine;Pokharel;Proceedings of the Journal of Physics: Conference Series,2023

3. Behavior of Francis Turbines at Part Load. Field Assessment in Prototype: Effects on the Hydraulic System;Valero;Proceedings of the 29th IAHR Symposium on Hydraulic Machinery and Systems,2019

4. Lei, Y. (2016). Intelligent Fault Diagnosis and Remaining Useful Life Prediction of Rotating Machinery, Butterworth-Heinemann.

5. Influence of the Hydrodynamic Damping on the Dynamic Response of Francis Turbine Runners;Presas;J. Fluids Struct.,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3