CN106662072B - 风力发电机状态监控方法与*** - Google Patents
风力发电机状态监控方法与*** Download PDFInfo
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- CN106662072B CN106662072B CN201480080202.XA CN201480080202A CN106662072B CN 106662072 B CN106662072 B CN 106662072B CN 201480080202 A CN201480080202 A CN 201480080202A CN 106662072 B CN106662072 B CN 106662072B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000002950 deficient Effects 0.000 claims abstract description 142
- 230000003862 health status Effects 0.000 claims abstract description 47
- 238000003745 diagnosis Methods 0.000 claims abstract description 44
- 238000012549 training Methods 0.000 claims abstract description 34
- 238000007418 data mining Methods 0.000 claims description 21
- 238000005065 mining Methods 0.000 claims description 17
- 230000005611 electricity Effects 0.000 claims description 6
- 230000036541 health Effects 0.000 claims description 2
- 238000009434 installation Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000013528 artificial neural network Methods 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012706 support-vector machine Methods 0.000 description 2
- 206010043458 Thirst Diseases 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000004218 nerve net Anatomy 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000004886 process control Methods 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 208000011580 syndromic disease Diseases 0.000 description 1
- 230000035922 thirst Effects 0.000 description 1
Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/83—Testing, e.g. methods, components or tools therefor
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/84—Modelling or simulation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- Computing Systems (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Wind Motors (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
Description
Claims (12)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2014/091425 WO2016077997A1 (en) | 2014-11-18 | 2014-11-18 | Wind turbine condition monitoring method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106662072A CN106662072A (zh) | 2017-05-10 |
CN106662072B true CN106662072B (zh) | 2019-10-25 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201480080202.XA Active CN106662072B (zh) | 2014-11-18 | 2014-11-18 | 风力发电机状态监控方法与*** |
Country Status (6)
Country | Link |
---|---|
US (1) | US10288043B2 (zh) |
EP (1) | EP3221579B1 (zh) |
CN (1) | CN106662072B (zh) |
ES (1) | ES2947817T3 (zh) |
FI (1) | FI3221579T3 (zh) |
WO (1) | WO2016077997A1 (zh) |
Families Citing this family (42)
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US10907616B2 (en) * | 2016-05-03 | 2021-02-02 | Vestas Wind Systems A/S | Status monitoring for mechanical plants, in particular wind turbines |
KR101768810B1 (ko) | 2016-06-02 | 2017-08-30 | 두산중공업 주식회사 | 풍력단지 통합 제어 모니터링 시스템 |
DE102016117190A1 (de) * | 2016-09-13 | 2018-03-15 | fos4X GmbH | Verfahren und Vorrichtung zum Überwachen eines Zustands wenigstens einer Windkraftanlage und Computerprogrammprodukt |
DE102016011005A1 (de) * | 2016-09-14 | 2018-03-15 | Senvion Gmbh | Verfahren und System zum Analysieren eines Zustands einer Windenergieanlage |
WO2018076236A1 (en) * | 2016-10-27 | 2018-05-03 | Abb Schweiz Ag | Wind farm and method and controller for feeding the same |
EP3388910A1 (en) | 2017-04-10 | 2018-10-17 | ABB Schweiz AG | Method and apparatus for monitoring the condition of subsystems within a renewable generation plant or microgrid |
CN107178477A (zh) * | 2017-07-10 | 2017-09-19 | 龙源(北京)风电工程技术有限公司 | 基于深度自编码模型的风电机组叶片故障监控方法及*** |
CN107704933A (zh) * | 2017-09-01 | 2018-02-16 | 新疆金风科技股份有限公司 | 风力发电机组故障诊断***和方法 |
CN108122075A (zh) * | 2017-12-22 | 2018-06-05 | 胜利油田鲁明油气勘探开发有限公司 | 一种基于卷积神经网络强化学习的有杆泵工况智能监测方法 |
CN108376298B (zh) * | 2018-02-12 | 2023-11-10 | 湘潭大学 | 一种风电机组发动机温度故障预警诊断方法 |
CN108764567A (zh) * | 2018-05-28 | 2018-11-06 | 中国科学院自动化研究所 | 基于状态健康信息的剩余寿命远程预测方法、***及设备 |
CN109164784A (zh) * | 2018-08-22 | 2019-01-08 | 重庆海装风电工程技术有限公司 | 基于大数据云服务的风力发电机运维方法、装置及*** |
CN109253048B (zh) * | 2018-08-31 | 2020-06-05 | 北京金风科创风电设备有限公司 | 风力发电机组的运行控制方法、装置、设备及存储介质 |
CN109372704B (zh) * | 2018-09-18 | 2020-08-18 | 国电联合动力技术有限公司 | 发电机组智能故障诊断分析及运维操作机器***及发电场 |
CN109657982B (zh) * | 2018-12-20 | 2022-02-11 | 三一重能有限公司 | 一种故障预警方法及装置 |
US10984154B2 (en) * | 2018-12-27 | 2021-04-20 | Utopus Insights, Inc. | System and method for evaluating models for predictive failure of renewable energy assets |
US10956632B2 (en) | 2018-12-27 | 2021-03-23 | Utopus Insights, Inc. | Scalable system and engine for forecasting wind turbine failure |
US20200210824A1 (en) * | 2018-12-28 | 2020-07-02 | Utopus Insights, Inc. | Scalable system and method for forecasting wind turbine failure with varying lead time windows |
CN109611288B (zh) * | 2018-12-29 | 2021-03-30 | 南京安维士传动技术股份有限公司 | 一种基于大数据的风电运维平台 |
CN111637023A (zh) * | 2019-03-01 | 2020-09-08 | 武汉朗立创科技有限公司 | 海上风力发电机齿轮振动监测大数据云平台*** |
CN110259646B (zh) * | 2019-05-06 | 2020-07-14 | 明阳智慧能源集团股份公司 | 一种基于历史数据的风力发电机组部件状态预警方法 |
US11041650B2 (en) * | 2019-05-20 | 2021-06-22 | Honeywell International Inc. | Cloud and edge integrated energy optimizer |
EP3748154A1 (en) * | 2019-06-06 | 2020-12-09 | Siemens Gamesa Renewable Energy A/S | A method for computer-implemented monitoring of a compo-nent of a wind turbine |
CN110675086A (zh) * | 2019-10-09 | 2020-01-10 | 东方电气风电有限公司 | 一种风力发电机组部件健康状态评估装置及方法 |
CN110990768A (zh) * | 2019-11-07 | 2020-04-10 | 湖北省电力勘测设计院有限公司 | 基于互信息值的发电机组性能各参数数据类型确定方法 |
US11509136B2 (en) | 2019-12-30 | 2022-11-22 | Utopus Insights, Inc. | Scalable systems and methods for assessing healthy condition scores in renewable asset management |
AT523586A1 (de) * | 2020-02-27 | 2021-09-15 | I4See Tech Gmbh | Verfahren zur zumindest teilweise dezentralen Berechnung des Gesundheitszustandes von mindestens einer Windkraftanlage |
CN111322206B (zh) * | 2020-02-28 | 2021-05-04 | 唐智科技湖南发展有限公司 | 一种风电机组机械大部件的智慧运维***及方法 |
CN112459970B (zh) * | 2020-04-29 | 2022-04-26 | 华北电力大学 | 一种运用数据对抗学习的风电机组异常检测方法 |
US11661919B2 (en) | 2021-01-20 | 2023-05-30 | General Electric Company | Odometer-based control of a wind turbine power system |
US11635060B2 (en) | 2021-01-20 | 2023-04-25 | General Electric Company | System for operating a wind turbine using cumulative load histograms based on actual operation thereof |
US11728654B2 (en) | 2021-03-19 | 2023-08-15 | General Electric Renovables Espana, S.L. | Systems and methods for operating power generating assets |
CN113408199A (zh) * | 2021-06-16 | 2021-09-17 | 华电山东新能源有限公司 | 一种基于多层感知神经网络的齿轮箱油温故障预警方法 |
US11761427B2 (en) | 2021-06-29 | 2023-09-19 | Aspentech Corporation | Method and system for building prescriptive analytics to prevent wind turbine failures |
CN113982850B (zh) * | 2021-09-10 | 2023-11-10 | 大唐国信滨海海上风力发电有限公司 | 融合高低频信号的风机综合健康分析方法及*** |
CN114893360B (zh) * | 2022-05-23 | 2023-03-24 | 国家电投集团科学技术研究院有限公司 | 风电机组塔筒异常振动识别和运行状态监测方法及*** |
CN114876744A (zh) * | 2022-05-23 | 2022-08-09 | 华能广西清洁能源有限公司 | 一种风机机舱辅助巡视装置 |
CN115013261B (zh) * | 2022-08-08 | 2022-12-06 | 国网浙江省电力有限公司舟山供电公司 | 一种用于海上风电场的状态监测方法及*** |
CN115498660B (zh) * | 2022-11-17 | 2023-04-07 | 华北电力大学 | 风电场调频动态建模方法、装置及电子设备 |
CN117312807B (zh) * | 2023-11-29 | 2024-02-06 | 浙江万胜智能科技股份有限公司 | 一种断路器的控制状态分析方法及*** |
CN117893030B (zh) * | 2024-03-14 | 2024-05-28 | 中智(福建)科技有限公司 | 基于大数据的电力***风险预警方法 |
CN118013468B (zh) * | 2024-04-03 | 2024-06-11 | 华电电力科学研究院有限公司 | 一种风电机组部件健康度监测方法、装置、设备及介质 |
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-
2014
- 2014-11-18 CN CN201480080202.XA patent/CN106662072B/zh active Active
- 2014-11-18 WO PCT/CN2014/091425 patent/WO2016077997A1/en active Application Filing
- 2014-11-18 FI FIEP14906626.8T patent/FI3221579T3/fi active
- 2014-11-18 EP EP14906626.8A patent/EP3221579B1/en active Active
- 2014-11-18 ES ES14906626T patent/ES2947817T3/es active Active
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2016
- 2016-11-23 US US15/359,976 patent/US10288043B2/en active Active
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CN103306893A (zh) * | 2012-03-09 | 2013-09-18 | 北京光耀能源技术股份有限公司 | 一种风力发电机故障预警及报警方法 |
CN103234753A (zh) * | 2013-04-11 | 2013-08-07 | 华北电力大学 | 基于高斯过程建模的风电机组轴系状态监测方法 |
CN103645052A (zh) * | 2013-12-11 | 2014-03-19 | 北京航空航天大学 | 一种风电机组齿轮箱远程在线状态监测及寿命评估方法 |
CN103761569A (zh) * | 2013-12-20 | 2014-04-30 | 上海电机学院 | 一种风力发电机故障诊断方法及装置 |
Also Published As
Publication number | Publication date |
---|---|
FI3221579T3 (fi) | 2023-06-21 |
CN106662072A (zh) | 2017-05-10 |
WO2016077997A1 (en) | 2016-05-26 |
EP3221579B1 (en) | 2023-03-29 |
US20170074250A1 (en) | 2017-03-16 |
BR112017001082A2 (pt) | 2017-11-21 |
BR112017001082A8 (pt) | 2022-12-27 |
ES2947817T3 (es) | 2023-08-21 |
US10288043B2 (en) | 2019-05-14 |
EP3221579A4 (en) | 2018-07-11 |
EP3221579A1 (en) | 2017-09-27 |
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