CN107491840B - 基于elm神经网络模型的流动磨损特性预测及寿命评估方法 - Google Patents
基于elm神经网络模型的流动磨损特性预测及寿命评估方法 Download PDFInfo
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CN109635468B (zh) * | 2018-12-18 | 2023-02-03 | 太原理工大学 | 一种角接触球轴承保持架稳定性预测方法 |
CN109521176B (zh) * | 2019-01-30 | 2021-08-31 | 杭州电子科技大学 | 一种基于改进深度极限学习机的虚拟水质监测方法 |
CN110108631B (zh) * | 2019-05-20 | 2021-11-19 | 上海应用技术大学 | 一种煤调湿机中不锈钢管使用寿命的预测方法 |
CN110287606A (zh) * | 2019-06-27 | 2019-09-27 | 淮阴师范学院 | 一种基于可视化平台的铸造磨球级配建模方法及系统 |
CN111222229B (zh) * | 2019-12-27 | 2022-10-21 | 清华大学深圳国际研究生院 | 气液两相流动态流动过程的瞬时流量测量模型构建方法 |
Citations (3)
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CN105334472A (zh) * | 2015-10-26 | 2016-02-17 | 安徽理工大学 | 矿用本安电源在线剩余寿命预测方法 |
CN105547886A (zh) * | 2016-01-07 | 2016-05-04 | 浙江理工大学 | 一种基于激波式的冲击磨损率速度指数的定量预测方法 |
CN107063907A (zh) * | 2017-03-31 | 2017-08-18 | 浙江理工大学 | 一种用于测量固液两相磨损的试验装置 |
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Patent Citations (3)
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CN105334472A (zh) * | 2015-10-26 | 2016-02-17 | 安徽理工大学 | 矿用本安电源在线剩余寿命预测方法 |
CN105547886A (zh) * | 2016-01-07 | 2016-05-04 | 浙江理工大学 | 一种基于激波式的冲击磨损率速度指数的定量预测方法 |
CN107063907A (zh) * | 2017-03-31 | 2017-08-18 | 浙江理工大学 | 一种用于测量固液两相磨损的试验装置 |
Non-Patent Citations (2)
Title |
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Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an Improved-Extreme Learning Machine;Kamran Javed et al.;《IEEE》;20121231;全文 * |
神经网络在磨损颗粒自动识别中的应用;胡春海等;《机械工程与自动化》;20050630;全文 * |
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Inventor after: Jin Haozhe Inventor after: Ai Zhibin Inventor after: Tan Jinlong Inventor after: Zhang Jianqiang Inventor after: Chen Xiaoping Inventor after: Our country is rich Inventor before: Jin Haozhe Inventor before: Zhang Jianqiang Inventor before: Chen Xiaoping |
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Application publication date: 20171219 Assignee: Zhejiang Zhongjing Bearing Co.,Ltd. Assignor: ZHEJIANG SCI-TECH University Contract record no.: X2022330000080 Denomination of invention: Prediction of flow wear characteristics and life evaluation method based on Elm neural network model Granted publication date: 20200605 License type: Common License Record date: 20220506 Application publication date: 20171219 Assignee: CHANGSHAN XINLONG BEARING Co.,Ltd. Assignor: ZHEJIANG SCI-TECH University Contract record no.: X2022330000079 Denomination of invention: Prediction of flow wear characteristics and life evaluation method based on Elm neural network model Granted publication date: 20200605 License type: Common License Record date: 20220506 |
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