FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM
The airborne fuel pump is a key component of the fuel system. In view of the phenomena of mode aliasing and excessive residual component in the process of signal decomposition and reconstruction, a fault diagnosis method for airborne fuel pump based on CEEMD Shannon entropy and improved SVM is propo...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2022-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.04.003 |
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| author | BAO Jie JING Bo JIAO XiaoXuan ZHANG QingYi ZHANG Yu |
| author_facet | BAO Jie JING Bo JIAO XiaoXuan ZHANG QingYi ZHANG Yu |
| author_sort | BAO Jie |
| collection | DOAJ |
| description | The airborne fuel pump is a key component of the fuel system. In view of the phenomena of mode aliasing and excessive residual component in the process of signal decomposition and reconstruction, a fault diagnosis method for airborne fuel pump based on CEEMD Shannon entropy and improved SVM is proposed. The signals of shell vibration and outlet pressure under various working conditions are obtained on the fault diagnosis test bench of airborne fuel pump. Then in the simulation I decomposed the vibration signals by using CEEMD method and calculated the Shannon entropy of IMF. Based on the above results, I selected the energy value and the mean value of pressure signal as the input eigenvectors of SVM, and used the SVM optimized by Gapso the to diagnose the fault types of fuel pump. Compared with BP neural network, SVM optimized by particle swarm optimization（PSO） and SVM optimized by genetic algorithm（GA）, the results showed that the model of SVM diagnosis optimized by GA has the advantages of fast training, high accuracy and short time-effect, and it has good engineering application value. |
| format | Article |
| id | doaj-art-072863011cc343c680dc935cfd3f5a99 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2022-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-072863011cc343c680dc935cfd3f5a992025-01-15T02:23:52ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692022-01-014478178729913533FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVMBAO JieJING BoJIAO XiaoXuanZHANG QingYiZHANG YuThe airborne fuel pump is a key component of the fuel system. In view of the phenomena of mode aliasing and excessive residual component in the process of signal decomposition and reconstruction, a fault diagnosis method for airborne fuel pump based on CEEMD Shannon entropy and improved SVM is proposed. The signals of shell vibration and outlet pressure under various working conditions are obtained on the fault diagnosis test bench of airborne fuel pump. Then in the simulation I decomposed the vibration signals by using CEEMD method and calculated the Shannon entropy of IMF. Based on the above results, I selected the energy value and the mean value of pressure signal as the input eigenvectors of SVM, and used the SVM optimized by Gapso the to diagnose the fault types of fuel pump. Compared with BP neural network, SVM optimized by particle swarm optimization（PSO） and SVM optimized by genetic algorithm（GA）, the results showed that the model of SVM diagnosis optimized by GA has the advantages of fast training, high accuracy and short time-effect, and it has good engineering application value.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.04.003Aircraft fuel pumpCEEMDShannon entropySupport vector machineFault diagnosis |
| spellingShingle | BAO Jie JING Bo JIAO XiaoXuan ZHANG QingYi ZHANG Yu FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM Jixie qiangdu Aircraft fuel pump CEEMD Shannon entropy Support vector machine Fault diagnosis |
| title | FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM |
| title_full | FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM |
| title_fullStr | FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM |
| title_full_unstemmed | FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM |
| title_short | FAULT DIAGNOSIS METHOD OF AIRBORNE FUEL PUMP BASED ON CEEMD SHANNON ENTROPY AND GAPSO-SVM |
| title_sort | fault diagnosis method of airborne fuel pump based on ceemd shannon entropy and gapso svm |
| topic | Aircraft fuel pump CEEMD Shannon entropy Support vector machine Fault diagnosis |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2022.04.003 |
| work_keys_str_mv | AT baojie faultdiagnosismethodofairbornefuelpumpbasedonceemdshannonentropyandgapsosvm AT jingbo faultdiagnosismethodofairbornefuelpumpbasedonceemdshannonentropyandgapsosvm AT jiaoxiaoxuan faultdiagnosismethodofairbornefuelpumpbasedonceemdshannonentropyandgapsosvm AT zhangqingyi faultdiagnosismethodofairbornefuelpumpbasedonceemdshannonentropyandgapsosvm AT zhangyu faultdiagnosismethodofairbornefuelpumpbasedonceemdshannonentropyandgapsosvm |