CN111356910B - 一种实现旋转设备自动故障诊断及寿命预测的系统和方法 - Google Patents

一种实现旋转设备自动故障诊断及寿命预测的系统和方法 Download PDF

Info

Publication number
CN111356910B
CN111356910B CN201880074933.1A CN201880074933A CN111356910B CN 111356910 B CN111356910 B CN 111356910B CN 201880074933 A CN201880074933 A CN 201880074933A CN 111356910 B CN111356910 B CN 111356910B
Authority
CN
China
Prior art keywords
time
peak
server
digital signal
rotating equipment
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.)
Active
Application number
CN201880074933.1A
Other languages
English (en)
Chinese (zh)
Other versions
CN111356910A (zh
Inventor
S·S·维杜拉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nanoplus Sci
Original Assignee
Nanoplus Sci
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 Nanoplus Sci filed Critical Nanoplus Sci
Publication of CN111356910A publication Critical patent/CN111356910A/zh
Application granted granted Critical
Publication of CN111356910B publication Critical patent/CN111356910B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H1/00Measuring characteristics of vibrations in solids by using direct conduction to the detector
    • G01H1/003Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the other groups of this subclass
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2433Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/048Activation functions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/02Preprocessing
    • G06F2218/04Denoising
    • G06F2218/06Denoising by applying a scale-space analysis, e.g. using wavelet analysis
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/08Feature extraction
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/084Backpropagation, e.g. using gradient descent

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
CN201880074933.1A 2017-09-23 2018-09-21 一种实现旋转设备自动故障诊断及寿命预测的系统和方法 Active CN111356910B (zh)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201762562365P 2017-09-23 2017-09-23
US62/562,365 2017-09-23
US15/862,146 2018-01-04
US15/862,146 US11188065B2 (en) 2017-09-23 2018-01-04 System and method for automated fault diagnosis and prognosis for rotating equipment
PCT/CA2018/000177 WO2019056087A1 (en) 2017-09-23 2018-09-21 SYSTEM AND METHOD FOR AUTOMATED MALFUNCTION DIAGNOSIS AND PROGNOSIS FOR ROTARY EQUIPMENT

Publications (2)

Publication Number Publication Date
CN111356910A CN111356910A (zh) 2020-06-30
CN111356910B true CN111356910B (zh) 2022-04-08

Family

ID=65809203

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201880074933.1A Active CN111356910B (zh) 2017-09-23 2018-09-21 一种实现旋转设备自动故障诊断及寿命预测的系统和方法

Country Status (5)

Country Link
US (1) US11188065B2 (https=)
EP (1) EP3685137B1 (https=)
JP (1) JP6996794B2 (https=)
CN (1) CN111356910B (https=)
WO (1) WO2019056087A1 (https=)

Families Citing this family (87)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2019244842B2 (en) * 2018-03-28 2024-03-07 L&T Technology Services Limited System and method for monitoring health and predicting failure of an electro-mechanical machine
US11257001B2 (en) * 2018-10-09 2022-02-22 International Business Machines Corporation Prediction model enhancement
CN109977920B (zh) * 2019-04-11 2022-06-07 福州大学 基于时频谱图及卷积神经网络的水轮机组故障诊断方法
CN110031226A (zh) * 2019-04-12 2019-07-19 佛山科学技术学院 一种轴承故障的诊断方法及装置
US20200341444A1 (en) * 2019-04-24 2020-10-29 Rob Dusseault Systems and methods for wireless monitoring and control of machinery
CN110188485B (zh) * 2019-06-03 2020-08-25 安徽理工大学 一种滚动轴承动态性能劣化趋势自适应获取方法
CN110160775A (zh) * 2019-06-04 2019-08-23 昆明理工大学 一种基于振动信号分析的高压隔膜泵单向阀故障诊断方法
CN110287853B (zh) * 2019-06-20 2021-02-09 清华大学 一种基于小波分解的暂态信号去噪方法
CN110160791B (zh) * 2019-06-27 2021-03-23 郑州轻工业学院 基于小波-谱峭度的感应电机轴承故障诊断系统及诊断方法
CN110375971B (zh) * 2019-07-11 2020-08-14 北京理工大学 径流式涡轮叶轮和压气机叶轮的加速寿命试验装置及方法
CN110399854B (zh) * 2019-07-31 2020-10-23 中南大学 基于混合特征提取的滚动轴承故障分类方法
CN110458071B (zh) * 2019-08-01 2020-12-15 北京邮电大学 一种基于dwt-dfpa-gbdt的光纤振动信号特征提取与分类方法
CN110458073B (zh) * 2019-08-01 2021-05-14 北京邮电大学 一种基于MEEMD-Hilbert和多层小波分解的光纤振动信号特征提取方法
EP3792709A1 (de) * 2019-09-10 2021-03-17 Avalance UG (haftungsbeschränkt) Analysevorrichtung für betriebsgeräusche einer werkzeugmaschine
CN110647867B (zh) * 2019-10-09 2022-05-13 中国科学技术大学 基于自适应抗噪声神经网络的轴承故障诊断方法及系统
CN110618353B (zh) * 2019-10-22 2021-04-06 北京航空航天大学 一种基于小波变换+cnn的直流电弧故障检测方法
CN110929768A (zh) * 2019-11-14 2020-03-27 国电大渡河检修安装有限公司 一种机器故障的预测方法
CN110794683A (zh) * 2019-11-27 2020-02-14 中国大唐集团科学技术研究院有限公司华中电力试验研究院 基于深度神经网络和峭度特征的风电齿轮箱状态评估方法
CN111027641B (zh) * 2019-12-25 2024-02-13 许昌北邮万联网络技术有限公司 一种旋转机械设备的故障诊断方法及装置
CN111222458A (zh) * 2020-01-06 2020-06-02 浙江工业大学 一种基于集合经验模态分解和卷积神经网络的滚动轴承故障诊断方法
CN111397868B (zh) * 2020-02-27 2022-02-08 广西电网有限责任公司电力科学研究院 一种基于聚合经验模态分解算法的断路器故障分析方法
DE102020204944A1 (de) 2020-04-20 2021-10-21 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren und System zur Diagnose eines Zustands eines Bauteils
CN111444893A (zh) * 2020-05-06 2020-07-24 南昌航空大学 一种矿井提升机主轴装置的故障诊断方法
US12517010B2 (en) * 2020-05-15 2026-01-06 Deere & Company Fault detection technique for a bearing
CN112067289A (zh) * 2020-08-21 2020-12-11 天津电气科学研究院有限公司 一种基于神经网络的电机轴及传动轴异常振动预警算法
WO2022036689A1 (en) * 2020-08-21 2022-02-24 Abb Schweiz Ag Method for fault diagnosis using a fault diagnosis model trained by virtual data
CN114152454B (zh) * 2020-09-08 2024-03-22 中国科学院上海高等研究院 基于ceemdan-cse模型的机械设备故障诊断方法及该模型的建立方法
CN112232212B (zh) * 2020-10-16 2021-09-07 广东石油化工学院 三重并发故障分析方法、系统、大机组设备及存储介质
CN112378605B (zh) * 2020-10-19 2023-06-27 大唐(赤峰)新能源有限公司 一种基于emd分解自学习的风电机组叶片故障识别方法
CN112291733B (zh) * 2020-10-21 2022-07-08 安徽德通智联科技有限公司 基于蓝牙与nbiot双无线技术的智能云振动监测系统及方法
CN112307965B (zh) * 2020-10-30 2021-05-25 哈尔滨市科佳通用机电股份有限公司 一种滚动轴承施封锁丢失和折断故障检测方法
CN112326236B (zh) * 2020-11-02 2023-04-18 北京信息科技大学 一种齿轮箱运行状态在线监测方法、系统及存储介质
CN112347898B (zh) * 2020-11-03 2024-04-09 重庆大学 一种基于dcae神经网络的滚动轴承健康指标构建方法
CN112633098B (zh) * 2020-12-14 2023-05-30 华中科技大学 一种旋转机械故障诊断方法、系统及存储介质
CN112686144B (zh) * 2020-12-29 2022-03-08 中南大学 一种基于磨音信号的矿石球磨过程负荷识别方法
US20220205451A1 (en) * 2020-12-31 2022-06-30 Robert Bosch Gmbh Sensing via signal to signal translation
KR102469614B1 (ko) * 2020-12-31 2022-11-21 주식회사 포스코아이씨티 진동 및 소리의 주파수를 센싱하는 센서모듈 및 이를 포함하는 설비 모니터링 시스템
CN112945162B (zh) * 2021-01-26 2022-05-31 山西大学 一种堆积层滑坡位移预测模型及预测方法
CN112949524B (zh) * 2021-03-12 2022-08-26 中国民用航空飞行学院 一种基于经验模态分解与多核学习的发动机故障检测方法
CN113092043A (zh) * 2021-03-31 2021-07-09 国网四川省电力公司检修公司 一种铁芯松动振动数据采集方法及系统
CN113033690B (zh) * 2021-04-07 2024-04-02 东北大学 一种基于声音的双投影邻域保持嵌入的托辊故障检测方法
US12321251B2 (en) * 2021-05-25 2025-06-03 Eugenie AI Inc. System and method for predicting remaining useful life of a machine component
CN113375941B (zh) 2021-06-08 2023-08-25 西安交通大学 高速动车组轴承的开集故障诊断方法
JP7637579B2 (ja) * 2021-06-30 2025-02-28 Jswアクティナシステム株式会社 レーザ照射装置、情報処理方法、及びプログラム
CN113468688B (zh) * 2021-07-05 2022-12-09 西安交通大学 基于参数优化vmd和加权基尼指数的轴承故障诊断方法
CN113780055B (zh) * 2021-07-19 2024-02-09 北京交通大学 一种momeda与压缩感知的滚动轴承故障诊断方法
CN113642414A (zh) * 2021-07-19 2021-11-12 北京航空航天大学 一种基于Transformer模型的滚动轴承剩余使用寿命预测方法
CN113465732B (zh) * 2021-08-13 2022-04-05 重庆大学 基于emd-dnn的振动台结构位移响应预测方法及装置
CN113465733B (zh) * 2021-08-13 2022-04-05 重庆大学 基于eemd-dnn的振动台结构位移响应预测方法及装置
CN113933035B (zh) * 2021-09-30 2023-08-29 中国船舶重工集团公司第七一九研究所 基于相关性分析的旋转机械装备故障诊断方法和系统
WO2023062442A1 (en) 2021-10-14 2023-04-20 Wittur Holding Gmbh A computer-implemented method for training a machine learning model to detect installation errors in an elevator, in particular an elevator door, a computer-implemented method for classifying installation errors and a system thereof
CN114112013B (zh) * 2021-11-04 2023-06-30 北京建筑大学 古建筑安全性测定方法和装置、电子设备和存储介质
CN114061746B (zh) * 2021-11-23 2023-06-27 洛阳师范学院 旋转机械故障诊断中的重复瞬变信号提取方法
CN114154415A (zh) * 2021-12-01 2022-03-08 新智我来网络科技有限公司 设备寿命的预测方法及装置
CN114279728B (zh) * 2021-12-07 2023-07-25 郑州大学 一种振动筛机体的故障诊断方法及系统
CN114298210A (zh) * 2021-12-24 2022-04-08 江苏国科智能电气有限公司 一种多视角融合风电齿轮箱轴承剩余寿命预测方法
KR102500883B1 (ko) * 2021-12-27 2023-02-16 현대건설(주) 머신러닝을 이용한 실시간 진동 신호 기반 회전기계의 건전성 관리 시스템 및 방법
CN114004263B (zh) * 2021-12-29 2022-05-03 四川大学 一种特征融合转换的大型设备工况诊断预测方法
CN114511017B (zh) * 2022-01-24 2024-12-27 中铁第四勘察设计院集团有限公司 一种铁路站房结构损伤的多重分步识别方法及系统
CN114518163B (zh) * 2022-02-21 2024-03-19 无边界(苏州)新材料科技有限公司 一种基于Gaussian-LM算法进行全声态光纤监测的方法
CN114584924B (zh) * 2022-02-28 2024-05-31 长沙融创智胜电子科技有限公司 一种智能无人值守传感器系统及目标识别方法
CN115293189B (zh) * 2022-03-16 2025-10-10 南京航空航天大学 一种基于堆栈自编码降维的旋转机械状态监测方法
CN114662702B (zh) * 2022-03-31 2025-05-23 北京百度网讯科技有限公司 故障检测方法、装置、电子设备和介质
CA3259910A1 (en) * 2022-04-19 2023-10-26 Enertics Inc. METHODS AND SYSTEMS FOR MONITORING, DIAGNOSING AND PREDICTING THE HEALTH OF AN INDUSTRIAL MACHINE WITH A ROTATING COMPONENT
JP7800296B2 (ja) * 2022-05-16 2026-01-16 横河電機株式会社 装置、方法およびプログラム
CN114964476B (zh) * 2022-05-27 2023-08-22 中国石油大学(北京) 油气管道系统动设备的故障诊断方法、装置及设备
WO2023230678A1 (pt) * 2022-05-31 2023-12-07 Weg Equipamentos Eletricos S.A. Método e sistema para geração de uma representação de realidade aumentada de deformações vibracionais para uma estrutura
CN115859091B (zh) * 2022-11-01 2023-05-26 哈尔滨工业大学 一种轴承故障特征的提取方法、电子设备及存储介质
CN115423221B (zh) * 2022-11-03 2023-02-07 北京建筑大学 一种设施运行趋势预测方法
CN115901262B (zh) * 2022-11-18 2026-03-20 太原理工大学 一种噪声功率可控的滚动轴承声学故障诊断方法
CN115929495B (zh) * 2022-11-30 2024-05-14 昆明理工大学 基于马尔可夫变迁场和改进高斯原型网络的发动机气门故障诊断方法
CN116224925B (zh) * 2022-12-16 2023-10-24 东莞市沃高实业投资有限公司 一种智能加工管理系统
CN115839843A (zh) * 2022-12-27 2023-03-24 江苏徐工国重实验室科技有限公司 变速箱故障的检测方法和装置
CN116337445B (zh) * 2023-04-13 2024-02-23 中国航发沈阳发动机研究所 基于多尺度排列熵和峭度值融合因子的轴承故障提取方法
US20240402052A1 (en) * 2023-06-05 2024-12-05 Anil Agrawal Method and system for monitoring a rotating equipment
EP4513152A1 (en) * 2023-07-20 2025-02-26 Schneider Electric Systems USA, Inc. System and method for vibration analysis
CN117268961B (zh) * 2023-11-23 2024-02-20 宁波市特种设备检验研究院 一种金属零部件的疲劳失效预警方法
CN117972989B (zh) * 2023-12-28 2024-07-26 天地(常州)自动化股份有限公司北京分公司 一种煤机设备的寿命预测方法及系统
CN118351668B (zh) * 2024-04-24 2024-11-08 力鼎智能装备(青岛)集团有限公司 一种基于数据分析的fms柔性智能产线安全预警系统
WO2026014144A1 (ja) * 2024-07-12 2026-01-15 ソニーグループ株式会社 故障予兆検知システム、故障予兆検知方法、および故障予兆検知プログラム
CN118728740B (zh) * 2024-09-04 2024-11-15 浙江日井泵业股份有限公司 一种深井泵工作性能在线监测方法及系统
CN119198094B (zh) * 2024-09-10 2025-09-23 东风汽车集团股份有限公司 发动机连杆大头轴承寿命预测方法、装置及设备
CN118882367B (zh) * 2024-09-29 2024-12-20 合肥巨阙电子有限公司 一种老化炉故障预测预警系统
CN119441838B (zh) * 2024-11-01 2025-11-04 湖南大学 基于传感器布局的动态载荷识别方法
CN119848674B (zh) * 2025-03-20 2025-05-20 西安热工研究院有限公司 一种基于振动趋势预测的发电机故障诊断方法及相关产品
CN120333742B (zh) * 2025-06-18 2025-08-22 广东工业大学 一种建筑隔振支座的减振测试方法及系统
CN121188672B (zh) * 2025-11-24 2026-02-24 天津津铁电子科技有限公司 一种轨道交通机电设备缺陷故障振动检测分析方法及系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103308292A (zh) * 2013-05-16 2013-09-18 国家电网公司 基于振动信号分析的真空断路器机械状态检测方法
CN104316317A (zh) * 2014-10-08 2015-01-28 西北工业大学 一种基于com组件的齿轮系统多故障诊断方法
CN105424366A (zh) * 2015-12-14 2016-03-23 长春工业大学 基于eemd自适应消噪的轴承故障诊断方法
CN106990303A (zh) * 2017-03-15 2017-07-28 国家电网公司 一种变压器故障诊断方法

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3449194B2 (ja) * 1997-01-28 2003-09-22 松下電工株式会社 回転機器の異常診断方法およびその装置
US6289735B1 (en) 1998-09-29 2001-09-18 Reliance Electric Technologies, Llc Machine diagnostic system and method for vibration analysis
EP1298511B2 (en) 2001-09-27 2009-11-18 Reliance Electric Technologies, LLC Motorized system integrated control and diagnostics using vibration, pressure, temperature, speed, and/or current analysis
WO2011060424A1 (en) * 2009-11-16 2011-05-19 Nrg Systems, Inc. Data acquisition system for condition-based maintenance
US8825567B2 (en) * 2012-02-08 2014-09-02 General Electric Company Fault prediction of monitored assets
US9772219B2 (en) * 2012-09-11 2017-09-26 S.P.M. Instrument Ab Apparatus for monitoring the condition of a machine
US10352794B2 (en) 2012-10-05 2019-07-16 Siemens Energy, Inc. Turbine blade fatigue life analysis using non-contact measurement and dynamical response reconstruction techniques
WO2015038878A1 (en) 2013-09-12 2015-03-19 Wai Fong Denny Choun Sensor apparatus and related methods
KR101473886B1 (ko) * 2013-12-27 2014-12-18 인하대학교 산학협력단 이상파랑 발생일 추출방법
EP3201845A4 (en) 2014-09-29 2018-05-30 Sikorsky Aircraft Corporation Vibration signatures for prognostics and health monitoring of machinery
US20160245686A1 (en) * 2015-02-23 2016-08-25 Biplab Pal Fault detection in rotor driven equipment using rotational invariant transform of sub-sampled 3-axis vibrational data
CN104748961A (zh) 2015-03-30 2015-07-01 中国矿业大学 基于svd分解降噪和相关性eemd熵特征的齿轮故障诊断方法
CN106127184A (zh) * 2016-07-05 2016-11-16 上海电机学院 一种风机齿轮箱故障诊断方法
CN106197999B (zh) 2016-07-08 2019-07-09 山东中衡光电科技有限公司 一种行星齿轮故障诊断方法
CN106052998B (zh) * 2016-07-14 2020-01-31 深圳市信维通信股份有限公司 振动器的测试系统
CN106289774B (zh) * 2016-07-26 2019-03-22 北京工业大学 一种滚动轴承故障识别与趋势预测方法
CN106441888A (zh) 2016-09-07 2017-02-22 广西大学 一种高速列车滚动轴承故障诊断方法
CN107122802A (zh) 2017-05-02 2017-09-01 哈尔滨理工大学 一种基于改进小波神经网络的滚动轴承的故障检测方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103308292A (zh) * 2013-05-16 2013-09-18 国家电网公司 基于振动信号分析的真空断路器机械状态检测方法
CN104316317A (zh) * 2014-10-08 2015-01-28 西北工业大学 一种基于com组件的齿轮系统多故障诊断方法
CN105424366A (zh) * 2015-12-14 2016-03-23 长春工业大学 基于eemd自适应消噪的轴承故障诊断方法
CN106990303A (zh) * 2017-03-15 2017-07-28 国家电网公司 一种变压器故障诊断方法

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
EEMD method and WNN for fault diagnosis of locomotive roller bearings;Yaguo Lei 等;《Expert Systems with Applications》;20111231;第7334-7341页 *
Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence;Ran Zhang 等;《Sensors》;20171231;全文 *
P. Wang and G. Vachtsevanos.Fault Prognosis Using Dynamic Wavelet Neural Networks.《AAAI Technical Report SS-99-04. Compilation copyright ©1999, AAAI (www.aaai.org)》.2001, *
predicting remaining useful life of rotating machinery based articial neural network;Abd Kadir Mahamad 等;《Computer and Mathematics with Applications》;20101231;第1078-1087页 *

Also Published As

Publication number Publication date
EP3685137A1 (en) 2020-07-29
EP3685137B1 (en) 2023-12-20
WO2019056087A1 (en) 2019-03-28
EP3685137C0 (en) 2023-12-20
JP6996794B2 (ja) 2022-01-17
JP2020534550A (ja) 2020-11-26
EP3685137A4 (en) 2021-06-30
US20190095781A1 (en) 2019-03-28
US11188065B2 (en) 2021-11-30
CN111356910A (zh) 2020-06-30

Similar Documents

Publication Publication Date Title
CN111356910B (zh) 一种实现旋转设备自动故障诊断及寿命预测的系统和方法
CA2875071C (en) Method and system for testing operational integrity of a drilling rig
US20240068864A1 (en) Systems and methods for monitoring of mechanical and electrical machines
US10520397B2 (en) Methods and apparatuses for defect diagnosis in a mechanical system
CN111595577A (zh) 用于数据驱动机器诊断的方法与系统
KR102545672B1 (ko) 기계고장 진단 방법 및 장치
CN104737029B (zh) 用于监视具有周期性行为的电性连接系统的系统及方法
WO2015015987A1 (ja) 軸受装置の振動解析方法、軸受装置の振動解析装置、および転がり軸受の状態監視装置
US20220365524A1 (en) Device for fault detection and failure prediction by monitoring vibrations of objects in particular industrial assets
WO2018159169A1 (ja) 劣化診断システム追加学習方法
CN113742855B (zh) 一种故障预测方法、系统、电子设备与可读存储介质
US11650184B2 (en) System and method for monitoring rotating equipment
JP6989398B2 (ja) 故障診断装置、故障診断方法、および故障診断プログラム
CN112697267A (zh) 一种工业设备异常振动检测装置
JP7843186B2 (ja) 装置状態評価システムおよび装置状態評価方法
US20230297854A1 (en) Learning apparatus, learning method, and failure prediction system
KR20230102431A (ko) 인공지능 기반의 오일가스 플랜트 설비 고장 예측 및 진단시스템
CN116499742A (zh) 一种基于集成学习的旋转机械故障监测方法
Albano et al. Advanced sensor-based maintenance in real-world exemplary cases
JP6192414B2 (ja) 転がり軸受の状態監視装置
JP2018519594A (ja) 資産でのローカルな解析
JPWO2019035279A1 (ja) 人工知能アルゴリズム
JP7600048B2 (ja) 装置診断システムおよび装置診断方法
Czyżewski Remote health monitoring of wind turbines employing vibroacoustic transducers and autoencoders
Gonçalves Sensor system for predictive maintenance in industrial environment

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