CN112730628A - 一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 - Google Patents
一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 Download PDFInfo
- Publication number
- CN112730628A CN112730628A CN202110155082.7A CN202110155082A CN112730628A CN 112730628 A CN112730628 A CN 112730628A CN 202110155082 A CN202110155082 A CN 202110155082A CN 112730628 A CN112730628 A CN 112730628A
- Authority
- CN
- China
- Prior art keywords
- signal
- acoustic emission
- noise
- distance
- feature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 50
- 238000005457 optimization Methods 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 claims abstract description 29
- 238000012216 screening Methods 0.000 claims abstract description 15
- 230000003044 adaptive effect Effects 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 5
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000005070 sampling Methods 0.000 claims description 3
- 230000001629 suppression Effects 0.000 claims description 3
- 241000135164 Timea Species 0.000 claims description 2
- 229910000831 Steel Inorganic materials 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000004907 flux Effects 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000007822 coupling agent Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 239000002344 surface layer Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/14—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object using acoustic emission techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/46—Processing the detected response signal, e.g. electronic circuits specially adapted therefor by spectral analysis, e.g. Fourier analysis or wavelet analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/02—Indexing codes associated with the analysed material
- G01N2291/028—Material parameters
- G01N2291/0289—Internal structure, e.g. defects, grain size, texture
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2291/00—Indexing codes associated with group G01N29/00
- G01N2291/26—Scanned objects
- G01N2291/262—Linear objects
- G01N2291/2623—Rails; Railroads
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Signal Processing (AREA)
- Pathology (AREA)
- Immunology (AREA)
- General Health & Medical Sciences (AREA)
- Biochemistry (AREA)
- Chemical & Material Sciences (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Engineering & Computer Science (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Mathematical Physics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Computation (AREA)
- Evolutionary Biology (AREA)
- Acoustics & Sound (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
Description
维数 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
鲁棒系数 | 0.9861 | 0.9820 | 0.7854 | 0.7804 | 0.6498 | 0.6551 | 0.5348 | 0.6062 |
维数 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |
鲁棒系数 | 0.5531 | 0.4962 | 0.4963 | 0.5034 | 0.5013 | 0.6261 | 0.6240 | 0.6310 |
维数 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |
鲁棒系数 | 0.6245 | 0.6282 | 0.6208 | 0.6252 | 0.6301 | 0.6246 | 0.6083 | 0.6189 |
维数 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 |
鲁棒系数 | 0.6241 | 0.6169 | 0.7094 | 0.7102 | 0.7145 | 0.7110 | 0.7095 | 0.7116 |
维数 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | |
鲁棒系数 | 0.7094 | 0.7075 | 0.7118 | 0.7011 | 0.7051 | 0.7101 | 0.7027 |
Claims (4)
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011242659X | 2020-11-09 | ||
CN202011242659.XA CN112362753A (zh) | 2020-11-09 | 2020-11-09 | 一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112730628A true CN112730628A (zh) | 2021-04-30 |
CN112730628B CN112730628B (zh) | 2022-06-03 |
Family
ID=74509235
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011242659.XA Withdrawn CN112362753A (zh) | 2020-11-09 | 2020-11-09 | 一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 |
CN202110155082.7A Active CN112730628B (zh) | 2020-11-09 | 2021-02-04 | 一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011242659.XA Withdrawn CN112362753A (zh) | 2020-11-09 | 2020-11-09 | 一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN112362753A (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117647590A (zh) * | 2023-12-07 | 2024-03-05 | 哈尔滨工业大学 | 基于改进局部均值分解和倒谱系数的钢轨裂纹检测方法 |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113159139B (zh) * | 2021-04-01 | 2022-08-09 | 哈尔滨工业大学 | 一种基于改进声发射密度聚类的伤损状态诊断方法 |
CN117007688B (zh) * | 2023-08-07 | 2024-05-28 | 郑州大学 | 一种桥梁预应力钢束损伤声发射监测噪声实时滤除方法 |
Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH09325183A (ja) * | 1996-06-04 | 1997-12-16 | Tech Res & Dev Inst Of Japan Def Agency | モード固有値計測方法 |
CN101017155A (zh) * | 2006-02-07 | 2007-08-15 | 哈尔滨工业大学 | 管节点焊缝超声相控阵检测成像*** |
CN101883424A (zh) * | 2010-04-23 | 2010-11-10 | 哈尔滨工业大学 | 基于近邻点数优化的wlan室内knn定位方法 |
CN103808810A (zh) * | 2014-03-14 | 2014-05-21 | 哈尔滨工业大学 | 一种基于小波时频图和群速度曲线的钢轨裂纹声发射特征提取方法 |
CN104777230A (zh) * | 2015-04-16 | 2015-07-15 | 哈尔滨工业大学 | 一种基于声发射技术的车载移动式高速铁路钢轨伤损检测***与检测方法 |
CN104897403A (zh) * | 2015-06-24 | 2015-09-09 | 北京航空航天大学 | 一种基于排列熵和流形改进动态时间规整的自适应故障诊断方法 |
CN104977357A (zh) * | 2015-08-04 | 2015-10-14 | 哈尔滨工业大学 | 一种基于卡尔曼滤波的钢轨裂纹声发射信号与提取去噪方法 |
CN105134619A (zh) * | 2015-09-28 | 2015-12-09 | 北京航空航天大学 | 一种基于小波能量、流形降维和动态时间规整的故障诊断与健康评估方法 |
CN106645424A (zh) * | 2016-12-09 | 2017-05-10 | 四川西南交大铁路发展股份有限公司 | 一种钢轨裂纹在线监测噪声滤除和裂纹判定方法及其*** |
CN110852138A (zh) * | 2018-08-21 | 2020-02-28 | 北京图森未来科技有限公司 | 一种图像数据中物体的标注方法和装置 |
-
2020
- 2020-11-09 CN CN202011242659.XA patent/CN112362753A/zh not_active Withdrawn
-
2021
- 2021-02-04 CN CN202110155082.7A patent/CN112730628B/zh active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH09325183A (ja) * | 1996-06-04 | 1997-12-16 | Tech Res & Dev Inst Of Japan Def Agency | モード固有値計測方法 |
CN101017155A (zh) * | 2006-02-07 | 2007-08-15 | 哈尔滨工业大学 | 管节点焊缝超声相控阵检测成像*** |
CN101883424A (zh) * | 2010-04-23 | 2010-11-10 | 哈尔滨工业大学 | 基于近邻点数优化的wlan室内knn定位方法 |
CN103808810A (zh) * | 2014-03-14 | 2014-05-21 | 哈尔滨工业大学 | 一种基于小波时频图和群速度曲线的钢轨裂纹声发射特征提取方法 |
CN104777230A (zh) * | 2015-04-16 | 2015-07-15 | 哈尔滨工业大学 | 一种基于声发射技术的车载移动式高速铁路钢轨伤损检测***与检测方法 |
CN104897403A (zh) * | 2015-06-24 | 2015-09-09 | 北京航空航天大学 | 一种基于排列熵和流形改进动态时间规整的自适应故障诊断方法 |
CN104977357A (zh) * | 2015-08-04 | 2015-10-14 | 哈尔滨工业大学 | 一种基于卡尔曼滤波的钢轨裂纹声发射信号与提取去噪方法 |
CN105134619A (zh) * | 2015-09-28 | 2015-12-09 | 北京航空航天大学 | 一种基于小波能量、流形降维和动态时间规整的故障诊断与健康评估方法 |
CN106645424A (zh) * | 2016-12-09 | 2017-05-10 | 四川西南交大铁路发展股份有限公司 | 一种钢轨裂纹在线监测噪声滤除和裂纹判定方法及其*** |
CN110852138A (zh) * | 2018-08-21 | 2020-02-28 | 北京图森未来科技有限公司 | 一种图像数据中物体的标注方法和装置 |
Non-Patent Citations (4)
Title |
---|
XIN ZHANG ET AL.,: "Antenna array design by a contraction adaptive particle swarm optimization algorithm", 《JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING》 * |
XIN ZHANG ET AL.,: "Antenna array design by a contraction adaptive particle swarm optimization algorithm", 《JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING》, no. 57, 31 December 2019 (2019-12-31), pages 1 - 7 * |
章欣: "基于声发射技术的钢轨伤损检测与判别研究", 《中国博士虚伪论文全文数据库 工程科技II辑》 * |
章欣: "基于声发射技术的钢轨伤损检测与判别研究", 《中国博士虚伪论文全文数据库 工程科技II辑》, no. 3, 15 March 2016 (2016-03-15), pages 033 - 2 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117647590A (zh) * | 2023-12-07 | 2024-03-05 | 哈尔滨工业大学 | 基于改进局部均值分解和倒谱系数的钢轨裂纹检测方法 |
CN117647590B (zh) * | 2023-12-07 | 2024-06-21 | 哈尔滨工业大学 | 基于改进局部均值分解和倒谱系数的钢轨裂纹检测方法 |
Also Published As
Publication number | Publication date |
---|---|
CN112730628B (zh) | 2022-06-03 |
CN112362753A (zh) | 2021-02-12 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112730628B (zh) | 一种基于不平等距离优化聚类算法的伤损裂纹声发射信号检测方法 | |
CN107316046B (zh) | 一种基于增量补偿动态自适应增强的故障诊断方法 | |
CN115272334B (zh) | 用于复杂背景下的钢轨表面微小缺陷检测方法 | |
CN106950276B (zh) | 一种基于卷积神经网络的管道缺陷深度的反演方法 | |
CN110070060B (zh) | 一种轴承设备的故障诊断方法 | |
CN111539152B (zh) | 一种基于两级孪生卷积神经网络的滚动轴承故障自学习方法 | |
CN111562108A (zh) | 一种基于cnn和fcmc的滚动轴承智能故障诊断方法 | |
CN111504644B (zh) | 基于嵌入区分性的条件对抗域自适应的轴承故障诊断方法 | |
CN110120218A (zh) | 基于gmm-hmm的高速公路大型车辆识别方法 | |
CN107199506B (zh) | 一种基于栈式自编码器和支持向量机的磨削颤振检测方法 | |
CN113838054A (zh) | 基于人工智能的机械零件表面损伤检测方法 | |
CN112364706A (zh) | 一种基于类不平衡的小样本轴承故障诊断方法 | |
CN111707472B (zh) | 基于fft和全连接层-svm的滚动轴承故障诊断方法 | |
CN113345443A (zh) | 基于梅尔频率倒谱系数的海洋哺乳动物发声检测识别方法 | |
CN116304549A (zh) | 一种隧道健康监测数据小波阈值去噪方法 | |
CN111881974B (zh) | 一种基于Piper-PCA-FCL判别模型的突水水源识别方法 | |
CN113314142B (zh) | 发动机故障检测方法、***、存储介质及设备 | |
CN108090635B (zh) | 一种基于聚类分类的路用性能预测方法 | |
CN107422373B (zh) | 一种基于特征漂移的煤矿冲击地压灾害在线预警方法 | |
CN116952586A (zh) | 基于1d-dcnn的车轴疲劳裂纹识别方法 | |
CN114970600B (zh) | 基于粒化散布熵和优化kelm的滚动轴承故障诊断方法、装置 | |
CN111946337B (zh) | 利用气测综合评价因子识别储层含油气性的方法 | |
CN107590824B (zh) | 基于三维图像处理技术的岩石颗粒识别及位移跟踪方法 | |
CN111076933B (zh) | 一种机床主轴轴承敏感特征集构建与健康状态识别方法 | |
Deuschle et al. | Robust sensor spike detection method based on dynamic time warping |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CB03 | Change of inventor or designer information |
Inventor after: Zhang Xin Inventor after: Chang Yongqi Inventor after: Hao Qiushi Inventor after: Song Shuzhi Inventor after: Shen Yi Inventor after: Wang Yan Inventor after: Li Xiaofeng Inventor before: Zhang Xin Inventor before: Chang Yongqi Inventor before: Hao Qiushi Inventor before: Song Shuzhi Inventor before: Shen Yi Inventor before: Wang Yan |
|
CB03 | Change of inventor or designer information |