CN115280123A - 一种故障诊断方法及其装置 - Google Patents
一种故障诊断方法及其装置 Download PDFInfo
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- CN115280123A CN115280123A CN202080098392.3A CN202080098392A CN115280123A CN 115280123 A CN115280123 A CN 115280123A CN 202080098392 A CN202080098392 A CN 202080098392A CN 115280123 A CN115280123 A CN 115280123A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 87
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M15/00—Testing of engines
- G01M15/04—Testing internal-combustion engines
- G01M15/12—Testing internal-combustion engines by monitoring vibrations
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/08—Investigating strength properties of solid materials by application of mechanical stress by applying steady tensile or compressive forces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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- Acoustics & Sound (AREA)
- Chemical & Material Sciences (AREA)
- Engineering & Computer Science (AREA)
- Combustion & Propulsion (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
一种旋转电机的故障诊断方法，包括：获取所述旋转电机沿振动方向的时域加速度信号，以及所述旋转电机的旋转周期(210)；将所述时域加速度信号转换为时域速度信号，以所述旋转周期为步长沿所述时域速度信号截取出多个速度信号片段，依次排列所述多个速度信号片段得到速度信号矩阵(220)；将所述速度信号矩阵转换成图像(230)；将所述图像输入经训练的神经网络模型，获得故障诊断结果(240)。所述方法通过将速度信号矩阵转换成图像，并将图像输入经训练的神经网络模型，获得故障诊断结果，从而将故障诊断问题转换为图像识别问题，适用于面向图像的神经网络模型，提高了故障诊断的效率和准确率。
Description
PCT国内申请，说明书已公开。
Claims (14)
- PCT国内申请，权利要求书已公开。
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2020/087312 WO2021217364A1 (zh) | 2020-04-27 | 2020-04-27 | 一种故障诊断方法及其装置 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115280123A true CN115280123A (zh) | 2022-11-01 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202080098392.3A Pending CN115280123A (zh) | 2020-04-27 | 2020-04-27 | 一种故障诊断方法及其装置 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20230184624A1 (zh) |
| EP (1) | EP4123284A4 (zh) |
| CN (1) | CN115280123A (zh) |
| WO (1) | WO2021217364A1 (zh) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113935351B (zh) * | 2021-11-22 | 2023-12-19 | 山西警察学院 | 一种非接触式振动频率检测与正反转识别的系统 |
| CN114358077B (zh) * | 2021-12-31 | 2024-08-20 | 湖南大学 | 一种永磁同步电机退磁故障诊断模型构建方法及故障诊断方法和系统 |
| CN114323635B (zh) * | 2022-01-08 | 2023-08-01 | 中国船舶重工集团公司第七一九研究所 | 一种基于太赫兹雷达的阀门故障状态感算诊断方法及系统 |
| CN114838923B (zh) * | 2022-04-08 | 2023-07-04 | 华中科技大学 | 有载分接开关的故障诊断模型建立方法及故障诊断方法 |
| CN115310346A (zh) * | 2022-06-30 | 2022-11-08 | 湖南第一师范学院 | 一种城轨车辆转向架牵引座故障诊断模型及其构建方法 |
| CN114893390B (zh) * | 2022-07-15 | 2023-08-04 | 安徽云磬科技产业发展有限公司 | 一种基于注意力与集成学习机制的泵机设备故障检测方法 |
| CN114970645B (zh) * | 2022-07-27 | 2023-04-07 | 中国工业互联网研究院 | 基于5g边云协同的民用航空发动机故障诊断系统及方法 |
| CN115081491B (zh) * | 2022-08-18 | 2022-11-08 | 深圳市乐闵科技有限公司 | 一种卫生巾生产设备运行状态故障诊断方法 |
| CN117349640A (zh) * | 2023-12-04 | 2024-01-05 | 成都盛锴科技有限公司 | 一种车载振动加速度数据分析方法及系统 |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW579424B (en) * | 2001-07-09 | 2004-03-11 | Shell Int Research | Vibration analysis for predictive maintenance in machinery |
| US8346385B2 (en) * | 2010-06-14 | 2013-01-01 | Delta Electronics, Inc. | Early-warning apparatus for health detection of servo motor and method for operating the same |
| US10168248B1 (en) * | 2015-03-27 | 2019-01-01 | Tensor Systems Pty Ltd | Vibration measurement and analysis |
| JP2018004787A (ja) * | 2016-06-29 | 2018-01-11 | 富士ゼロックス株式会社 | 画像形成装置 |
| CN106226074B (zh) * | 2016-09-22 | 2017-08-01 | 华中科技大学 | 基于卷积神经网络和小波灰度图的旋转机械故障诊断方法 |
| CN108106830B (zh) * | 2017-12-13 | 2019-10-29 | 武汉科技大学 | 一种基于时频谱分割的变速旋转机械故障诊断方法 |
| CN109556895A (zh) * | 2018-10-29 | 2019-04-02 | 东北大学 | 旋转机械的故障分析方法及装置 |
| KR20190103083A (ko) * | 2019-08-15 | 2019-09-04 | 엘지전자 주식회사 | 딥러닝 기반의 세탁기의 진동 분석 방법과 그 장치 |
| CN110487549A (zh) * | 2019-09-10 | 2019-11-22 | 哈工大机器人（山东）智能装备研究院 | 轴承故障识别方法、装置、计算机设备及存储介质 |
| CN110954312B (zh) * | 2020-02-19 | 2020-11-20 | 北京化工大学 | 一种基于无键相整周期信号的往复机械故障诊断方法 |
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2020
- 2020-04-27 WO PCT/CN2020/087312 patent/WO2021217364A1/zh active Application Filing
- 2020-04-27 CN CN202080098392.3A patent/CN115280123A/zh active Pending
- 2020-04-27 EP EP20934160.1A patent/EP4123284A4/en active Pending
- 2020-04-27 US US17/921,489 patent/US20230184624A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021217364A1 (zh) | 2021-11-04 |
| EP4123284A1 (en) | 2023-01-25 |
| US20230184624A1 (en) | 2023-06-15 |
| EP4123284A4 (en) | 2023-11-22 |
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