Intelligent Prediction of Process Parameters of Power Station Boiler Bender
Because the traditional tube bending technology of power station boiler bender is not good at controlling the forming quality and setting process parameters, it usually lengthens the production cycle and wastes costs. Improved BP neural network is used to establish bender intelligent control system...
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| Veröffentlicht in: | International journal of advancements in computing technology 2013-03, Vol.5 (6), p.184-191 |
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| container_end_page | 191 |
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| container_issue | 6 |
| container_start_page | 184 |
| container_title | International journal of advancements in computing technology |
| container_volume | 5 |
| creator | Shengle, Ren Ye, Dai Guangfei, Wu Tianyu, Cheng Ming, Che |
| description | Because the traditional tube bending technology of power station boiler bender is not good at controlling the forming quality and setting process parameters, it usually lengthens the production cycle and wastes costs. Improved BP neural network is used to establish bender intelligent control system model which can predict and analyze the forming qualities after tube bending. The system determines the reasonableness of process parameters from the result of forming qualities and gives the revised parameters back to the intelligent control system model. Then the model predicts the forming qualities repeated till the perfect forming quality is gained. The revised parameters become the practice process parameters. |
| doi_str_mv | 10.4156/ijact.vol5.issue6.22 |
| format | Article |
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Improved BP neural network is used to establish bender intelligent control system model which can predict and analyze the forming qualities after tube bending. The system determines the reasonableness of process parameters from the result of forming qualities and gives the revised parameters back to the intelligent control system model. Then the model predicts the forming qualities repeated till the perfect forming quality is gained. The revised parameters become the practice process parameters.</abstract><doi>10.4156/ijact.vol5.issue6.22</doi><tpages>8</tpages></addata></record> |
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| ispartof | International journal of advancements in computing technology, 2013-03, Vol.5 (6), p.184-191 |
| issn | 2005-8039 2233-9337 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1429884833 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Bending Bending machines Control systems Forming Mathematical models Power stations Process parameters Tubes |
| title | Intelligent Prediction of Process Parameters of Power Station Boiler Bender |
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