RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK
In order to improve dynamic reliability and work efficiency of shearer,the rigid-flexible coupling model of SL1000 shearer was constructed,the stress and reliability information of rocker shell were obtained through dynamic simulation;Based on BP neural network,the rocker arm shell’reliability of ot...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2017-01-01
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| Series: | Jixie qiangdu |
| Subjects: | |
| Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.06.021 |
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| _version_ | 1841535398738657280 |
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| author | ZHAO LiJuan ZHAO MingYang LIU XuNan |
| author_facet | ZHAO LiJuan ZHAO MingYang LIU XuNan |
| author_sort | ZHAO LiJuan |
| collection | DOAJ |
| description | In order to improve dynamic reliability and work efficiency of shearer,the rigid-flexible coupling model of SL1000 shearer was constructed,the stress and reliability information of rocker shell were obtained through dynamic simulation;Based on BP neural network,the rocker arm shell’reliability of other conditions were predicted,and the relationship between it and coal seams consistent coefficient、tract Dion speed、roller cutting depth were analyzed,and the traction speed of shearer was optimized. The combination of virtual prototyping technology and BP neural network provides a new concept and convenient method for the prediction of shearer’work reliability,and it has important theoretical significance and engineering application value. |
| format | Article |
| id | doaj-art-d968669d311e4690bfe61f7787176185 |
| institution | Kabale University |
| issn | 1001-9669 |
| language | zho |
| publishDate | 2017-01-01 |
| publisher | Editorial Office of Journal of Mechanical Strength |
| record_format | Article |
| series | Jixie qiangdu |
| spelling | doaj-art-d968669d311e4690bfe61f77871761852025-01-15T02:33:12ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692017-01-01391379138430600230RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORKZHAO LiJuanZHAO MingYangLIU XuNanIn order to improve dynamic reliability and work efficiency of shearer,the rigid-flexible coupling model of SL1000 shearer was constructed,the stress and reliability information of rocker shell were obtained through dynamic simulation;Based on BP neural network,the rocker arm shell’reliability of other conditions were predicted,and the relationship between it and coal seams consistent coefficient、tract Dion speed、roller cutting depth were analyzed,and the traction speed of shearer was optimized. The combination of virtual prototyping technology and BP neural network provides a new concept and convenient method for the prediction of shearer’work reliability,and it has important theoretical significance and engineering application value.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.06.021ShearerRocker arm shellReliabilityVirtual PrototypingBP neural network |
| spellingShingle | ZHAO LiJuan ZHAO MingYang LIU XuNan RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK Jixie qiangdu Shearer Rocker arm shell Reliability Virtual Prototyping BP neural network |
| title | RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK |
| title_full | RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK |
| title_fullStr | RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK |
| title_full_unstemmed | RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK |
| title_short | RESEARCH ON RELIABILITY OF SHEARER’ROCKER SHELL BASED ON VP AND BP NEURAL NETWORK |
| title_sort | research on reliability of shearer rocker shell based on vp and bp neural network |
| topic | Shearer Rocker arm shell Reliability Virtual Prototyping BP neural network |
| url | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2017.06.021 |
| work_keys_str_mv | AT zhaolijuan researchonreliabilityofshearerrockershellbasedonvpandbpneuralnetwork AT zhaomingyang researchonreliabilityofshearerrockershellbasedonvpandbpneuralnetwork AT liuxunan researchonreliabilityofshearerrockershellbasedonvpandbpneuralnetwork |