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Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network
In order to solve the problem that variable working conditions and fault types cannot be diagnosed in gear fault diagnosis of petroleum drilling equipment, four kinds of faults, namely, gear broken tooth, gear crack, gear pitting, and gear wear, are studied in this paper. Based on the SOM neural net...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410934/ https://www.ncbi.nlm.nih.gov/pubmed/36035857 http://dx.doi.org/10.1155/2022/9841443 |
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author | Lu, Linzhu Liu, Jie Huang, Xin Fan, Yongcai |
author_facet | Lu, Linzhu Liu, Jie Huang, Xin Fan, Yongcai |
author_sort | Lu, Linzhu |
collection | PubMed |
description | In order to solve the problem that variable working conditions and fault types cannot be diagnosed in gear fault diagnosis of petroleum drilling equipment, four kinds of faults, namely, gear broken tooth, gear crack, gear pitting, and gear wear, are studied in this paper. Based on the SOM neural network algorithm, an intelligent diagnosis model of gear fault is proposed, and the PCA method is used to reduce data dimension and fuse features. The state index of life prediction is determined, and the remaining service life prediction of gear transmission system is predicted based on exponential degradation model. The results show that the accuracy of the SOM model for fault diagnosis is high, and the bearing in gearbox can be replaced or repaired in advance according to the residual life curve, so as to achieve the purpose of predictive maintenance. |
format | Online Article Text |
id | pubmed-9410934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-94109342022-08-26 Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network Lu, Linzhu Liu, Jie Huang, Xin Fan, Yongcai Comput Intell Neurosci Research Article In order to solve the problem that variable working conditions and fault types cannot be diagnosed in gear fault diagnosis of petroleum drilling equipment, four kinds of faults, namely, gear broken tooth, gear crack, gear pitting, and gear wear, are studied in this paper. Based on the SOM neural network algorithm, an intelligent diagnosis model of gear fault is proposed, and the PCA method is used to reduce data dimension and fuse features. The state index of life prediction is determined, and the remaining service life prediction of gear transmission system is predicted based on exponential degradation model. The results show that the accuracy of the SOM model for fault diagnosis is high, and the bearing in gearbox can be replaced or repaired in advance according to the residual life curve, so as to achieve the purpose of predictive maintenance. Hindawi 2022-08-18 /pmc/articles/PMC9410934/ /pubmed/36035857 http://dx.doi.org/10.1155/2022/9841443 Text en Copyright © 2022 Linzhu Lu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lu, Linzhu Liu, Jie Huang, Xin Fan, Yongcai Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network |
title | Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network |
title_full | Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network |
title_fullStr | Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network |
title_full_unstemmed | Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network |
title_short | Gear Fault Diagnosis and Life Prediction of Petroleum Drilling Equipment Based on SOM Neural Network |
title_sort | gear fault diagnosis and life prediction of petroleum drilling equipment based on som neural network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410934/ https://www.ncbi.nlm.nih.gov/pubmed/36035857 http://dx.doi.org/10.1155/2022/9841443 |
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