Online fault diagnosis for sucker rod pumping well by optimized density peak clustering-Reference-Cited by-同舟云学术

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Online fault diagnosis for sucker rod pumping well by optimized density peak clustering

Published:2022-01 Issue: Volume:120 Page:222-234
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Han Ying,Li Kun,Ge Fawei,Wang Yi’an,Xu Wensu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference48 articles.

1. A novel prediction method for down-hole working conditions of the beam pumping unit based on 8-directions chain codes and online sequential extreme learning machine;Li;J Petrol Sci Eng,2018

2. A novel KFCM based fault diagnosis method for unknown faults in satellite reaction wheels;Hu;Isa Trans,2012

3. A double-fuzzy diagnostic methodology dedicated to online fault diagnosis of proton exchange membrane fuel cell stacks;Zheng;J Power Sources,2014

4. Application of clustering methods for online tool condition monitoring and fault diagnosis in high-speed milling processes;Torabi;IEEE Syst J,2015

5. Sequential fuzzy clustering based dynamic fuzzy neural network for fault diagnosis and prognosis;Jahromi;Neurocomputing,2016

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