CN106706320A - 一种基于前馈控制随机共振的轴承早期故障诊断方法 - Google Patents
一种基于前馈控制随机共振的轴承早期故障诊断方法 Download PDFInfo
- Publication number
- CN106706320A CN106706320A CN201611228972.1A CN201611228972A CN106706320A CN 106706320 A CN106706320 A CN 106706320A CN 201611228972 A CN201611228972 A CN 201611228972A CN 106706320 A CN106706320 A CN 106706320A
- Authority
- CN
- China
- Prior art keywords
- signal
- parameter
- frequency
- feedforward control
- bearing
- 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
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000003745 diagnosis Methods 0.000 title claims abstract description 15
- 230000008878 coupling Effects 0.000 claims abstract description 13
- 238000010168 coupling process Methods 0.000 claims abstract description 13
- 238000005859 coupling reaction Methods 0.000 claims abstract description 13
- 230000002068 genetic effect Effects 0.000 claims abstract description 10
- 238000001514 detection method Methods 0.000 claims description 22
- 230000006835 compression Effects 0.000 claims description 14
- 238000007906 compression Methods 0.000 claims description 14
- 238000001228 spectrum Methods 0.000 claims description 10
- 230000009897 systematic effect Effects 0.000 claims description 9
- 238000005070 sampling Methods 0.000 claims description 7
- 238000006243 chemical reaction Methods 0.000 claims description 6
- 230000014759 maintenance of location Effects 0.000 claims description 6
- 230000035772 mutation Effects 0.000 claims description 6
- 238000012935 Averaging Methods 0.000 claims description 5
- 230000000737 periodic effect Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000006467 substitution reaction Methods 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 9
- 230000008859 change Effects 0.000 abstract description 5
- 241000208340 Araliaceae Species 0.000 description 5
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 5
- 235000003140 Panax quinquefolius Nutrition 0.000 description 5
- 235000008434 ginseng Nutrition 0.000 description 5
- 238000010586 diagram Methods 0.000 description 3
- 230000002708 enhancing effect Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 230000004888 barrier function Effects 0.000 description 2
- 230000033228 biological regulation Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
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
Landscapes
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Feedback Control In General (AREA)
Abstract
Description
Claims (5)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611228972.1A CN106706320B (zh) | 2016-12-27 | 2016-12-27 | 一种基于前馈控制随机共振的轴承早期故障诊断方法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611228972.1A CN106706320B (zh) | 2016-12-27 | 2016-12-27 | 一种基于前馈控制随机共振的轴承早期故障诊断方法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106706320A true CN106706320A (zh) | 2017-05-24 |
CN106706320B CN106706320B (zh) | 2018-12-04 |
Family
ID=58902751
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611228972.1A Expired - Fee Related CN106706320B (zh) | 2016-12-27 | 2016-12-27 | 一种基于前馈控制随机共振的轴承早期故障诊断方法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106706320B (zh) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109187022A (zh) * | 2018-08-31 | 2019-01-11 | 南京信息工程大学 | 一种基于随机共振与自动编码器的滚动轴承故障诊断方法 |
CN109388898A (zh) * | 2018-10-25 | 2019-02-26 | 重庆邮电大学 | 一种基于线性耦合双稳系统的弱信号检测方法 |
CN110345986A (zh) * | 2019-06-11 | 2019-10-18 | 北京航空航天大学 | 一种基于随机共振和任务迁移的多应力测试方法 |
CN110763465A (zh) * | 2019-10-22 | 2020-02-07 | 中国计量大学 | 一种基于带阻尼三稳态特性的轴承早期故障信号检测系统 |
CN114055251A (zh) * | 2021-12-17 | 2022-02-18 | 沈阳科网通信息技术有限公司 | 一种基于深度分解的电主轴系统早期故障检测方法 |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0031906A2 (en) * | 1979-12-31 | 1981-07-15 | International Business Machines Corporation | Method and apparatus for determining friction associated with an electric motor |
US4383208A (en) * | 1979-12-31 | 1983-05-10 | International Business Machines Corporation | Dynamic determination of friction in a closed loop control system |
CN101191804A (zh) * | 2007-12-03 | 2008-06-04 | 中国人民解放军国防科学技术大学 | 自适应随机共振微弱信号检测方法 |
CN101236407A (zh) * | 2008-02-04 | 2008-08-06 | 中国计量学院 | 一种随机共振的耦合控制方法 |
CN101266502A (zh) * | 2008-04-08 | 2008-09-17 | 中国计量学院 | 一种基于双共振的随机共振控制方法 |
CN103335844A (zh) * | 2013-06-24 | 2013-10-02 | 中国计量学院 | 一种自适应随机共振轴承故障检测方法 |
-
2016
- 2016-12-27 CN CN201611228972.1A patent/CN106706320B/zh not_active Expired - Fee Related
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP0031906A2 (en) * | 1979-12-31 | 1981-07-15 | International Business Machines Corporation | Method and apparatus for determining friction associated with an electric motor |
US4383208A (en) * | 1979-12-31 | 1983-05-10 | International Business Machines Corporation | Dynamic determination of friction in a closed loop control system |
CN101191804A (zh) * | 2007-12-03 | 2008-06-04 | 中国人民解放军国防科学技术大学 | 自适应随机共振微弱信号检测方法 |
CN101236407A (zh) * | 2008-02-04 | 2008-08-06 | 中国计量学院 | 一种随机共振的耦合控制方法 |
CN101266502A (zh) * | 2008-04-08 | 2008-09-17 | 中国计量学院 | 一种基于双共振的随机共振控制方法 |
CN103335844A (zh) * | 2013-06-24 | 2013-10-02 | 中国计量学院 | 一种自适应随机共振轴承故障检测方法 |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109187022A (zh) * | 2018-08-31 | 2019-01-11 | 南京信息工程大学 | 一种基于随机共振与自动编码器的滚动轴承故障诊断方法 |
CN109388898A (zh) * | 2018-10-25 | 2019-02-26 | 重庆邮电大学 | 一种基于线性耦合双稳系统的弱信号检测方法 |
CN110345986A (zh) * | 2019-06-11 | 2019-10-18 | 北京航空航天大学 | 一种基于随机共振和任务迁移的多应力测试方法 |
CN110345986B (zh) * | 2019-06-11 | 2020-08-25 | 北京航空航天大学 | 一种基于随机共振和任务迁移的多应力测试方法 |
CN110763465A (zh) * | 2019-10-22 | 2020-02-07 | 中国计量大学 | 一种基于带阻尼三稳态特性的轴承早期故障信号检测系统 |
CN114055251A (zh) * | 2021-12-17 | 2022-02-18 | 沈阳科网通信息技术有限公司 | 一种基于深度分解的电主轴系统早期故障检测方法 |
Also Published As
Publication number | Publication date |
---|---|
CN106706320B (zh) | 2018-12-04 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106706320A (zh) | 一种基于前馈控制随机共振的轴承早期故障诊断方法 | |
CN107356432A (zh) | 基于频域窗经验小波共振解调的滚动轴承故障诊断方法 | |
CN108343599B (zh) | 一种基于多粒度级联森林的水泵机组智能故障诊断方法 | |
CN100485342C (zh) | 机械故障的集成支持向量机混合智能诊断方法 | |
CN102928514B (zh) | 一种基于频率特征的木材应力波无损检测方法 | |
CN108334987B (zh) | 一种基于小波分解-神经网络的海浪波高预测方法 | |
CN105445022B (zh) | 一种基于双树复小波变换‑熵特征融合的行星齿轮故障诊断方法 | |
Song et al. | Self-adaptive multivariate variational mode decomposition and its application for bearing fault diagnosis | |
CN105424359A (zh) | 一种基于稀疏分解的齿轮和轴承混合故障特征提取方法 | |
CN104316323B (zh) | 基于周期靶向的最优共振频带确定方法 | |
CN104786101A (zh) | 立铣切削颤振的监测方法 | |
CN103699513B (zh) | 一种基于多尺度噪声调节的随机共振方法 | |
CN110866448A (zh) | 基于卷积神经网络和短时傅里叶变换的颤振信号分析方法 | |
CN105424366A (zh) | 基于eemd自适应消噪的轴承故障诊断方法 | |
CN108108672A (zh) | 一种基于线性搜索策略的随机共振电流弱信息识别方法 | |
CN105372198A (zh) | 基于集成l1正则化的红外光谱波长选择方法 | |
CN105157821A (zh) | 一种旋转机械振动故障诊断及定量分析方法 | |
CN106918389A (zh) | 一种基于多普勒光学位移法的振型分析方法及其应用 | |
CN106197523A (zh) | 基于一阶线性系统的弱信号检测及复原 | |
CN106840281A (zh) | 一种基于类方波前馈控制随机共振的涡街频率检测方法 | |
CN102095552A (zh) | 一种消除信号相位随机误差的方法 | |
CN111709279B (zh) | 一种利用svd-emd算法分离微地震噪声混合信号的算法 | |
CN112345247B (zh) | 一种滚动轴承的故障诊断方法及装置 | |
CN104834271B (zh) | 基于动刚度评价的直接进给轴伺服参数优化方法 | |
CN111582132A (zh) | 基于改进eemd与pcnn的气体泄漏信号降噪方法 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170524 Assignee: Xinchang China Metrology University Enterprise Innovation Research Institute Co.,Ltd. Assignor: China Jiliang University Contract record no.: X2021330000071 Denomination of invention: A method of bearing early fault diagnosis based on feedforward control stochastic resonance Granted publication date: 20181204 License type: Common License Record date: 20210816 |
|
EC01 | Cancellation of recordation of patent licensing contract | ||
EC01 | Cancellation of recordation of patent licensing contract |
Assignee: Xinchang China Metrology University Enterprise Innovation Research Institute Co.,Ltd. Assignor: China Jiliang University Contract record no.: X2021330000071 Date of cancellation: 20211231 |
|
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181204 |