CN102033108B - 金属拉伸件的状态判别特征参数提取方法 - Google Patents
金属拉伸件的状态判别特征参数提取方法 Download PDFInfo
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CN102854252B (zh) * | 2012-09-10 | 2015-04-08 | 北京理工大学 | 一种检测金属材料疲劳状态的方法和系统 |
CN103852525B (zh) * | 2012-11-29 | 2016-09-21 | 沈阳工业大学 | 基于ar-hmm的声发射信号识别方法 |
US9568390B2 (en) * | 2013-06-27 | 2017-02-14 | Dresser, Inc. | System and method for filtering noise from acoustic energy from a valve |
CN103743821B (zh) * | 2013-12-20 | 2016-09-14 | 江苏大学 | 超薄板微成形模具的ae信号检测系统装置及方法 |
CN104297061B (zh) * | 2014-10-15 | 2017-01-25 | 上海工程技术大学 | 一种测定与识别纺织材料拉伸破坏模式的装置 |
CN105203632B (zh) * | 2015-10-12 | 2017-12-22 | 江苏大学 | 一种基于超声导波的管道缺陷类型判别方法 |
CN105738481A (zh) * | 2016-02-29 | 2016-07-06 | 上海交通大学 | 一种碳纤维增强复合材料切削加工缺陷的预测方法 |
TWI714097B (zh) * | 2019-05-24 | 2020-12-21 | 國立臺北科技大學 | 沖壓模具壽命管理系統 |
CN111024820B (zh) * | 2019-12-19 | 2023-01-31 | 南通大学 | 一种海上风电叶片健康监测系统及其数据处理方法 |
CN111812211B (zh) * | 2020-07-09 | 2021-09-24 | 武汉理工大学 | 一种基于声发射参数的ra–af–e岩石类材料脆性破坏裂纹分类方法 |
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CN101566601A (zh) * | 2009-05-04 | 2009-10-28 | 北京航空航天大学 | 采用神经网络和耦合迭代对16Mn钢承力件进行拉伸损伤状态的识别系统 |
CN101566541A (zh) * | 2009-05-04 | 2009-10-28 | 北京航空航天大学 | 采用突变模型对在役16Mn钢承力件进行拉伸损伤的评估系统 |
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CN101566601A (zh) * | 2009-05-04 | 2009-10-28 | 北京航空航天大学 | 采用神经网络和耦合迭代对16Mn钢承力件进行拉伸损伤状态的识别系统 |
CN101566541A (zh) * | 2009-05-04 | 2009-10-28 | 北京航空航天大学 | 采用突变模型对在役16Mn钢承力件进行拉伸损伤的评估系统 |
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