CN108804720B - Oil pumping machine fault diagnosis method based on improved traceless Kalman filtering and RBF neural network - Google Patents
Oil pumping machine fault diagnosis method based on improved traceless Kalman filtering and RBF neural network Download PDFInfo
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- CN108804720B CN108804720B CN201710282712.0A CN201710282712A CN108804720B CN 108804720 B CN108804720 B CN 108804720B CN 201710282712 A CN201710282712 A CN 201710282712A CN 108804720 B CN108804720 B CN 108804720B
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- 238000005086 pumping Methods 0.000 title claims abstract description 66
- 238000003745 diagnosis Methods 0.000 title claims abstract description 45
- 238000013528 artificial neural network Methods 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000001914 filtration Methods 0.000 title claims abstract description 17
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 34
- 238000003062 neural network model Methods 0.000 claims abstract description 8
- 239000011159 matrix material Substances 0.000 claims description 36
- 238000010586 diagram Methods 0.000 claims description 30
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- 150000001875 compounds Chemical class 0.000 claims description 6
- 230000009466 transformation Effects 0.000 claims description 6
- 239000007788 liquid Substances 0.000 claims description 5
- 239000003129 oil well Substances 0.000 claims description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/008—Monitoring of down-hole pump systems, e.g. for the detection of "pumped-off" conditions
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/02—Preprocessing
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CN201710282712.0A CN108804720B (en) | 2017-04-26 | 2017-04-26 | Oil pumping machine fault diagnosis method based on improved traceless Kalman filtering and RBF neural network |
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CN201710282712.0A CN108804720B (en) | 2017-04-26 | 2017-04-26 | Oil pumping machine fault diagnosis method based on improved traceless Kalman filtering and RBF neural network |
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CN108804720A CN108804720A (en) | 2018-11-13 |
CN108804720B true CN108804720B (en) | 2021-09-14 |
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Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109739210B (en) * | 2018-12-25 | 2021-02-19 | 中车工业研究院有限公司 | Method and device for evaluating health state of equipment component |
CN109920514A (en) * | 2019-03-11 | 2019-06-21 | 重庆科技学院 | A kind of self-closing disease based on Kalman filtering neural network embraces body and tests evaluation method and system |
CN110439537B (en) * | 2019-08-13 | 2020-04-28 | 北京助创科技有限公司 | Method for inverting ground indicator diagram by using electric indicator diagram of pumping unit |
CN111537679B (en) * | 2020-05-25 | 2021-06-08 | 北京化工大学 | Soft measurement method for concentration of dividing wall rectifying tower based on nonlinear filtering |
CN115434690B (en) * | 2021-06-04 | 2024-05-14 | 中国科学院沈阳自动化研究所 | Bayesian-based oil pumping unit unsupervised online mutation point detection and fusion method |
WO2023136856A1 (en) * | 2022-01-17 | 2023-07-20 | Schlumberger Technology Corporation | Field pump equipment system |
Citations (7)
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CN101826856A (en) * | 2010-03-11 | 2010-09-08 | 哈尔滨工程大学 | Particle filtering method based on spherical simplex unscented Kalman filter |
CN104680025A (en) * | 2015-03-12 | 2015-06-03 | 重庆科技学院 | Oil pumping unit parameter optimization method on basis of genetic algorithm extreme learning machine |
CN105045941A (en) * | 2015-03-13 | 2015-11-11 | 重庆科技学院 | Oil pumping unit parameter optimization method based on traceless Kalman filtering |
WO2016059126A1 (en) * | 2014-10-17 | 2016-04-21 | Jaguar Land Rover Limited | Battery condition monitoring |
CN105672988A (en) * | 2015-12-30 | 2016-06-15 | 中国石油天然气股份有限公司 | Oil pumping unit indicator diagram diagnosis system and method |
CN105891724A (en) * | 2016-05-05 | 2016-08-24 | 南京航空航天大学 | On-line estimation method for state of charge of lithium ion battery based on extended single particle model |
CN106093783A (en) * | 2016-06-03 | 2016-11-09 | 哈尔滨工业大学 | The battery SOC method of estimation that Kalman filtering merges with data-driven |
-
2017
- 2017-04-26 CN CN201710282712.0A patent/CN108804720B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101826856A (en) * | 2010-03-11 | 2010-09-08 | 哈尔滨工程大学 | Particle filtering method based on spherical simplex unscented Kalman filter |
WO2016059126A1 (en) * | 2014-10-17 | 2016-04-21 | Jaguar Land Rover Limited | Battery condition monitoring |
CN104680025A (en) * | 2015-03-12 | 2015-06-03 | 重庆科技学院 | Oil pumping unit parameter optimization method on basis of genetic algorithm extreme learning machine |
CN105045941A (en) * | 2015-03-13 | 2015-11-11 | 重庆科技学院 | Oil pumping unit parameter optimization method based on traceless Kalman filtering |
CN105672988A (en) * | 2015-12-30 | 2016-06-15 | 中国石油天然气股份有限公司 | Oil pumping unit indicator diagram diagnosis system and method |
CN105891724A (en) * | 2016-05-05 | 2016-08-24 | 南京航空航天大学 | On-line estimation method for state of charge of lithium ion battery based on extended single particle model |
CN106093783A (en) * | 2016-06-03 | 2016-11-09 | 哈尔滨工业大学 | The battery SOC method of estimation that Kalman filtering merges with data-driven |
Non-Patent Citations (2)
Title |
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基于RBF网络的抽油机减速器故障诊断;王江萍;《石油机械》;20071231;第28-31页 * |
改进自适应UKF在组合导航系统中的应用研究;王明建;《无线电工程》;20161231;第76-78页 * |
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Application publication date: 20181113 Assignee: Guangxi Chunmeng Intelligent Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2023980053984 Denomination of invention: A Fault Diagnosis Method for Pumping Units Based on Improved Unscented Kalman Filter and RBF Neural Network Granted publication date: 20210914 License type: Common License Record date: 20231227 |
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Application publication date: 20181113 Assignee: Foshan shangxiaoyun Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980003005 Denomination of invention: A Fault Diagnosis Method for Pumping Units Based on Improved Unscented Kalman Filter and RBF Neural Network Granted publication date: 20210914 License type: Common License Record date: 20240322 Application publication date: 20181113 Assignee: FOSHAN YAOYE TECHNOLOGY Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980003003 Denomination of invention: A Fault Diagnosis Method for Pumping Units Based on Improved Unscented Kalman Filter and RBF Neural Network Granted publication date: 20210914 License type: Common License Record date: 20240322 Application publication date: 20181113 Assignee: Foshan helixing Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980003002 Denomination of invention: A Fault Diagnosis Method for Pumping Units Based on Improved Unscented Kalman Filter and RBF Neural Network Granted publication date: 20210914 License type: Common License Record date: 20240322 |
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Application publication date: 20181113 Assignee: Foshan qianshun Technology Co.,Ltd. Assignor: Chongqing University of Science & Technology Contract record no.: X2024980004523 Denomination of invention: A Fault Diagnosis Method for Pumping Units Based on Improved Unscented Kalman Filter and RBF Neural Network Granted publication date: 20210914 License type: Common License Record date: 20240419 |