Fault Evolution Testability Modeling and Analysis for Centrifugal Pumps

被引：0

作者：

Tan Xiaodong ^{[1
]}

Qiu Jing ^{[1
]}

Liu Guanjun ^{[1
]}

Li Qing ^{[2
]}

机构：

[1] Natl Univ Def Technol, Sci & Technol Integrated Logist Support Lab, Changsha, Hunan, Peoples R China

[2] Officers Coll CAPF, Dept Elect Technol, Chengdu, Sichuan, Peoples R China

来源：

PROCEEDINGS OF 2014 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-2014 HUNAN) | 2014年

关键词：

Centrifugal pump; Design for Testability(DFT); Health and Performance Monitoring (HPM); Fault Evolution Testability Model(FETM);

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Centrifugal pump is one of the most used pump types in industrial applications, and Health and Performance Monitoring (HPM) of pumps using lots of tests can prevent loss caused by failures. Therefore, Design for Testability (DFT) need be implemented in order to reduce the test costs as much as possible on the basis of meeting the HPM requirements. As the basis of DFT, testability model can improve its efficiency. Hence, a Fault Evolution Testability Model (FETM) for centrifugal pumps is proposed and testability analysis method considering HPM requirements is developed in this paper. Finally, the results of case study show that FETM can correctly describe the relationships between fault growth and tests, and testability analysis proposed in this paper can help DFT to improve HPM level.

引用

页码：469 / 473

页数：5

共 50 条

[1] Internal flow structure, fault detection, and performance optimization of centrifugal pumps [J].

Tong, Zhe-ming ;

Xin, Jia-ge ;

Tong, Shui-guang ;

Yang, Zhong-qin ;

Zhao, Jian-yun ;

Mao, Jun-hua .

JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2020, 21 (02) :85-117

[2] Transient Flow Analysis through Centrifugal Pumps [J].

Chalghoum, Issa ;

Elaoud, Sami ;

Akrout, Mohsen ;

Hadj-Taieb, Ezzeddine .

MULTIPHYSICS MODELLING AND SIMULATION FOR SYSTEMS DESIGN AND MONITORING, 2015, 2 :339-348

[3] Advanced Data Augmentation Techniques for Enhanced Fault Diagnosis in Industrial Centrifugal Pumps [J].

Kim, Dong-Yun ;

Kareem, Akeem Bayo ;

Domingo, Daryl ;

Shin, Baek-Cheon ;

Hur, Jang-Wook .

JOURNAL OF SENSOR AND ACTUATOR NETWORKS, 2024, 13 (05)

[4] Multi-kernel Learning based Autonomous Fault Diagnosis for Centrifugal Pumps [J].

Feng, Haoran ;

Wang, Yongcai ;

Zhu, Jiajun ;

Li, Deying .

2018 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2018, :548-553

[5] Centrifugal Pumps as Extractors [J].

Schmitt, Philipp ;

Hlawitschka, Mark W. ;

Bart, Hans-Joerg .

CHEMIE INGENIEUR TECHNIK, 2020, 92 (05) :589-594

[6] Centrifugal blood pumps [J].

Yamane, Takashi .

Transactions of Japanese Society for Medical and Biological Engineering, 2014, 52 :OS-13

[7] Cavitation in centrifugal pumps [J].

Vukovic, Zivko ;

Halkijevic, Ivan .

GRADEVINAR, 2011, 63 (01) :11-17

[8] PERFORMANCE CHARACTERISTICS AND VISCOUS FLOW ANALYSIS OF CENTRIFUGAL PUMPS [J].

Yuan Shouqi ;

Jin Shude(Jiangsu University of Science and Technology ) He Wei(Zhejiang University) .

Chinese Journal of Mechanical Engineering(English Edition), 1995, (01) :75-81

[9] Deep Learning Modeling for Centrifugal Pump Multi-Fault Type Classification and Analysis [J].

Choi, Hyeon Sik ;

Heo, Hyo Beom ;

Park, Seung Hwan .

TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2023, 47 (03) :263-272

[10] A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning [J].

Hasan, Md Junayed ;

Rai, Akhand ;

Ahmad, Zahoor ;

Kim, Jong-Myon .

IEEE ACCESS, 2021, 9 :58052-58066

← 1 2 3 4 5 →