FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION
In response to the challenging task of fault feature classification in the current working conditions of pumping units,which results in poor adaptability and low recognition rate of the established diagnosis model. The dynamometer card was pretreated by mathematical morphology through the analysis o...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Strength
2025-01-01
|
Series: | Jixie qiangdu |
Subjects: | |
Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2025.01.002 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832586365077815296 |
---|---|
author | REN Taizhu FAN Jun JIANG Xiaxin |
author_facet | REN Taizhu FAN Jun JIANG Xiaxin |
author_sort | REN Taizhu |
collection | DOAJ |
description | In response to the challenging task of fault feature classification in the current working conditions of pumping units,which results in poor adaptability and low recognition rate of the established diagnosis model. The dynamometer card was pretreated by mathematical morphology through the analysis of the motion state of the pumping unit valve and the sucker rod. Then, two methods of obtaining valve opening and closing points and load variation characteristics were proposed, and 54 new features of global faults of pumping units were extracted, and the characteristic database of working conditions of the pumping unit was established.Finally, the algorithm of decision tree, logistic regression and support vector machine was used to verify that the feature database has good classification effect under different working conditions. The characteristic indexes of different fault conditions were evaluated, and the private rule database of each working condition was obtained. The research results demonstrate that the proposed features in this study are capable of effectively identifying comprehensive faults in pumping units, exhibiting a high level of recognition accuracy. |
format | Article |
id | doaj-art-bc4f4ad8a28e44bba76fee0a8438f367 |
institution | Kabale University |
issn | 1001-9669 |
language | zho |
publishDate | 2025-01-01 |
publisher | Editorial Office of Journal of Mechanical Strength |
record_format | Article |
series | Jixie qiangdu |
spelling | doaj-art-bc4f4ad8a28e44bba76fee0a8438f3672025-01-25T19:01:12ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692025-01-0147121981419703FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATIONREN TaizhuFAN JunJIANG XiaxinIn response to the challenging task of fault feature classification in the current working conditions of pumping units,which results in poor adaptability and low recognition rate of the established diagnosis model. The dynamometer card was pretreated by mathematical morphology through the analysis of the motion state of the pumping unit valve and the sucker rod. Then, two methods of obtaining valve opening and closing points and load variation characteristics were proposed, and 54 new features of global faults of pumping units were extracted, and the characteristic database of working conditions of the pumping unit was established.Finally, the algorithm of decision tree, logistic regression and support vector machine was used to verify that the feature database has good classification effect under different working conditions. The characteristic indexes of different fault conditions were evaluated, and the private rule database of each working condition was obtained. The research results demonstrate that the proposed features in this study are capable of effectively identifying comprehensive faults in pumping units, exhibiting a high level of recognition accuracy.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2025.01.002Oil pumping machineDynamometer cardFeature extractionFault identificationValve |
spellingShingle | REN Taizhu FAN Jun JIANG Xiaxin FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION Jixie qiangdu Oil pumping machine Dynamometer card Feature extraction Fault identification Valve |
title | FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION |
title_full | FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION |
title_fullStr | FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION |
title_full_unstemmed | FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION |
title_short | FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION |
title_sort | feature extraction and establishment based on pumping unit working conditions and global fault identification |
topic | Oil pumping machine Dynamometer card Feature extraction Fault identification Valve |
url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2025.01.002 |
work_keys_str_mv | AT rentaizhu featureextractionandestablishmentbasedonpumpingunitworkingconditionsandglobalfaultidentification AT fanjun featureextractionandestablishmentbasedonpumpingunitworkingconditionsandglobalfaultidentification AT jiangxiaxin featureextractionandestablishmentbasedonpumpingunitworkingconditionsandglobalfaultidentification |