Intelligent Model for the Reliability of the Non-Intrusive Continuous Sensors Used for the Detection of Fouling-Layer in Heat Exchanger System

Author:

Aikhuele Daniel Osezua12ORCID,Ighravwe Desmond E.2ORCID,Sorooshian Shahryar3ORCID

Affiliation:

1. Department of Mechanical Engineering, University of Port Harcourt, East-West Road Port Harcourt, Choba 500272, Nigeria

2. Faculty of Engineering and Built Environment, University of Johannesburg, Johannesburg 2006, South Africa

3. Department of Business Administration, University of Gothenburg, 405 30 Gothenburg, Sweden

Abstract

Faults in this sensor must be detected on time to ensure the functionality of the entire system’s architecture and to maintain system balance, which will keep false positive rates low during the system’s operational period. False positives reduce diagnostic confidence and necessitate unnecessary and costly mitigation actions, lowering system productivity. It is on this basis that this study proposes a clustering model algorithm (K-mean clustering) to investigate and manage the reliability and performance of the sensors. The results from the implementation of the K-mean clustering method show that the running of the algorithm fits the model correctly, both for the training of the dataset and for the prediction of the cluster in each of the datasets considered. A reasonable grouping was found for the two and three clusters considered, which are represented by the colors (blue, orange, and green). These colors indicate the fault state, non-fault state, normal state, and abnormal state of the non-intrusive continuous sensor. The simulated results show the fault state in the blue region and the non-fault state in the orange region for the two clusters, while the normal state is in the blue region and the abnormal state is in the orange and green regions for the three clusters considered.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference26 articles.

1. Reliability, availability and maintenance optimisation of heat exchanger networks;Sikos;Appl. Therm. Eng.,2010

2. Reliability analysis on a shell and tube heat exchanger;Lingeswara;IOP Conf. Ser. Earth Environ. Sci.,2016

3. Berce, J., Zupančič, M., Može, M., and Golobič, I. (2021). A Review of Crystallization Fouling in Heat Exchangers. Processes, 9.

4. Most Frequently Used Heat Exchangers from Pioneering Research to Worldwide Applications;Master;Heat Transf. Eng.,2006

5. Ibrahim, H.A.-H. (2012). MATLAB—A Fundamental Tool for Scientific Computing and Engineering Applications, IntechOpen.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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