ZA202102516B - A rolling bearing fault diagnosis method based on grcmse and manifold learning - Google Patents

A rolling bearing fault diagnosis method based on grcmse and manifold learning

Info

Publication number
ZA202102516B
ZA202102516B ZA2021/02516A ZA202102516A ZA202102516B ZA 202102516 B ZA202102516 B ZA 202102516B ZA 2021/02516 A ZA2021/02516 A ZA 2021/02516A ZA 202102516 A ZA202102516 A ZA 202102516A ZA 202102516 B ZA202102516 B ZA 202102516B
Authority
ZA
South Africa
Prior art keywords
grcmse
method based
rolling bearing
fault diagnosis
diagnosis method
Prior art date
Application number
ZA2021/02516A
Other languages
English (en)
Inventor
Ligang Yao
Zhenya Wang
Yongwu Cai
Original Assignee
Univ Fuzhou
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Univ Fuzhou filed Critical Univ Fuzhou
Publication of ZA202102516B publication Critical patent/ZA202102516B/en

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G01M13/04—Bearings
    • G01M13/045—Acoustic or vibration analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Acoustics & Sound (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
ZA2021/02516A 2019-12-31 2021-04-16 A rolling bearing fault diagnosis method based on grcmse and manifold learning ZA202102516B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201911407048.3A CN111103139A (zh) 2019-12-31 2019-12-31 基于grcmse与流形学习的滚动轴承故障诊断方法
PCT/CN2020/126642 WO2021135630A1 (zh) 2019-12-31 2020-11-05 基于grcmse与流形学习的滚动轴承故障诊断方法

Publications (1)

Publication Number Publication Date
ZA202102516B true ZA202102516B (en) 2022-04-28

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
ZA2021/02516A ZA202102516B (en) 2019-12-31 2021-04-16 A rolling bearing fault diagnosis method based on grcmse and manifold learning

Country Status (4)

Country Link
CN (1) CN111103139A (zh)
AU (1) AU2020104428A4 (zh)
WO (1) WO2021135630A1 (zh)
ZA (1) ZA202102516B (zh)

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CN112146861B (zh) * 2020-09-15 2022-03-29 湖北工业大学 一种基于SDAE-RCmvMSE的机械故障监测诊断系统建立方法
CN112418267B (zh) * 2020-10-16 2023-10-24 江苏金智科技股份有限公司 一种基于多尺度可视图和深度学习的电机故障诊断方法
CN113807524B (zh) * 2021-08-12 2023-07-25 上海工程技术大学 量子差分进化算法优化svm的滚动轴承故障诊断方法
CN113723476B (zh) * 2021-08-13 2024-03-26 国网山东省电力公司枣庄供电公司 一种基于融合不定核特征提取的LightGBM变压器故障诊断方法
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CN113642508B (zh) * 2021-08-27 2024-04-09 中国航空工业集团公司上海航空测控技术研究所 基于参数自适应vmd与优化svm的轴承故障诊断方法
CN113820132B (zh) * 2021-08-30 2023-09-05 西安理工大学 基于多尺度散布熵构造阈值的故障报警方法
CN113764548A (zh) * 2021-09-02 2021-12-07 浙江清华柔性电子技术研究院 微型器件的转移方法
CN113790892B (zh) * 2021-09-13 2024-01-23 哈电发电设备国家工程研究中心有限公司 基于决策级融合的重型燃气轮机可倾瓦轴承拍瓦故障诊断方法、计算机及存储介质
CN113962289B (zh) * 2021-09-26 2024-04-05 西安交通大学 面向终身学习的旋转机械在线智能故障诊断方法及系统
CN113901999B (zh) * 2021-09-29 2023-09-29 国网四川省电力公司电力科学研究院 一种高压并联电抗器故障诊断方法和系统
CN113758709A (zh) * 2021-09-30 2021-12-07 河南科技大学 结合边缘计算和深度学习的滚动轴承故障诊断方法及系统
CN114088400B (zh) * 2021-11-01 2024-04-09 中国人民解放军92728部队 一种基于包络排列熵的滚动轴承故障诊断方法
CN114139639B (zh) * 2021-12-06 2024-05-14 东北大学 一种基于自步邻域保持嵌入的故障分类方法
CN114383846B (zh) * 2022-01-06 2023-06-30 合肥工业大学 基于故障标签信息向量的轴承复合故障诊断方法
CN114486263B (zh) * 2022-02-15 2023-04-25 浙江大学 一种旋转机械滚动轴承振动信号降噪解调方法
CN114579542A (zh) * 2022-03-15 2022-06-03 中铁十四局集团大盾构工程有限公司 一种基于pca-svm的盾构机故障数据清洗方法及装置
CN114742095A (zh) * 2022-03-21 2022-07-12 昆明理工大学 一种滚动轴承多通道数据故障识别方法
CN114593919B (zh) * 2022-03-28 2023-11-17 青岛理工大学 一种新型的滚动轴承故障诊断方法及其系统
CN114738389B (zh) * 2022-03-29 2023-03-28 南京航空航天大学 一种面向打滑诊断的智能轴承系统及打滑诊断预测方法
CN114781450B (zh) * 2022-04-24 2024-03-29 华东交通大学 一种基于参数优化momeda-mia-cnn的列车滚动轴承状态识别方法
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CN115114964B (zh) * 2022-07-21 2023-04-07 西南交通大学 一种基于数据驱动的传感器间歇性故障诊断方法
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CN115406656A (zh) * 2022-08-29 2022-11-29 桂林电子科技大学 轴承锈蚀智能诊断方法及系统
CN115876476B (zh) * 2023-02-16 2023-05-16 山东科技大学 滚动轴承故障诊断方法、系统、计算机设备以及存储介质
CN116150676B (zh) * 2023-04-19 2023-09-26 山东能源数智云科技有限公司 基于人工智能的设备故障诊断与识别方法及装置
CN116659863B (zh) * 2023-05-19 2024-04-19 云南中广核能源服务有限公司 一种基于小波包的轴承振动信号处理方法
CN116432091B (zh) * 2023-06-15 2023-09-26 山东能源数智云科技有限公司 基于小样本的设备故障诊断方法、模型的构建方法及装置
CN116499748B (zh) * 2023-06-27 2023-08-29 昆明理工大学 基于改进smote和分类器的轴承故障诊断方法、系统
CN116701918B (zh) * 2023-08-02 2023-10-20 成都星云智联科技有限公司 一种基于LightGBM特征提取和BiLSTM的滚动轴承故障诊断方法
CN117972616B (zh) * 2024-03-28 2024-06-14 江西江投能源技术研究有限公司 一种抽水蓄能发电机组安全状态监测诊断方法及系统

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CN101799368B (zh) * 2010-01-27 2011-05-25 北京信息科技大学 一种机电设备非线性故障预测方法
CN104849050B (zh) * 2015-06-02 2017-10-27 安徽工业大学 一种基于复合多尺度排列熵的滚动轴承故障诊断方法
DE102017207380A1 (de) * 2017-05-03 2018-11-08 Robert Bosch Gmbh Verfahren zum Ermitteln eines Zustands eines Antriebsriemens
CN108760300A (zh) * 2018-04-19 2018-11-06 西安工业大学 一种依据轴承振动信号对其进行故障智能诊断的方法
CN109916628B (zh) * 2019-04-04 2020-11-06 哈尔滨理工大学 基于改进多尺度幅值感知排列熵的滚动轴承故障诊断方法
CN111103139A (zh) * 2019-12-31 2020-05-05 福州大学 基于grcmse与流形学习的滚动轴承故障诊断方法

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AU2020104428A4 (en) 2021-07-22
WO2021135630A1 (zh) 2021-07-08
CN111103139A (zh) 2020-05-05

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