Zitieren

Ma Hongjun. The research and application of key technologies and applications of offline monitoring and diagnosis of long-voltage pipeline oil pumps [J]. Water pump technology, 2023 (03): 29–35. Hongjun Ma The research and application of key technologies and applications of offline monitoring and diagnosis of long-voltage pipeline oil pumps [J] . Water pump technology , 2023 ( 03 ): 29 35 . Search in Google Scholar

Xu Jia, Hu Jiancun, Qin Ciwei, etc. Optimized high-pressure oil pump diagnosis based on parameter optimization VMD and distributed entropy [J]. Internal combustion engine Journal, 2023, 41 (02): 166–174. Jia Xu Jiancun Hu Ciwei Qin Optimized high-pressure oil pump diagnosis based on parameter optimization VMD and distributed entropy [J] . Internal combustion engine Journal , 2023 , 41 ( 02 ): 166 174 . Search in Google Scholar

]Zhang Zongke, Dai Longxing. The application of the oil gas pump in the oil and gas collection system [J]. Comprehensive corrosion control, 2022, 36 (09): 34–35. Zongke ]Zhang Longxing Dai The application of the oil gas pump in the oil and gas collection system [J] . Comprehensive corrosion control , 2022 , 36 ( 09 ): 34 35 . Search in Google Scholar

Li Yaping, Li Sujie, Ma Bo, etc. A method of failure diagnosis and health assessment of the oil pump unit [J]. Yaping Li Sujie Li Bo Ma , etc. A method of failure diagnosis and health assessment of the oil pump unit [J] . Search in Google Scholar

Teacher Chaoguang. Based on the labView oil pump unit running noise noise, three-dimensional boundary sound field simulation research [D]. Northeast Petroleum University, 2022. Chaoguang Teacher Based on the labView oil pump unit running noise noise, three-dimensional boundary sound field simulation research [D] . Northeast Petroleum University , 2022 . Search in Google Scholar

Liu Zhaoting. Study on the failure diagnosis method of the oil pump unit based on running noise analysis [D]. Northeast Petroleum University, 2022. Zhaoting Liu Study on the failure diagnosis method of the oil pump unit based on running noise analysis [D] . Northeast Petroleum University , 2022 . Search in Google Scholar

Zhang Xing, Zhang Yikun, Lin Mingchun, etc. The diagnosis and treatment of the resonance failure of the oil pump motor [J]. Chinese petroleum and chemical standards and quality, 2021, 41 (17): 47–49. Xing Zhang Yikun Zhang Mingchun Lin , etc. The diagnosis and treatment of the resonance failure of the oil pump motor [J] . Chinese petroleum and chemical standards and quality , 2021 , 41 ( 17 ): 47 49 . Search in Google Scholar

Confucius. Oil pump unit fluid power noise noise acoustic characteristics and their detection methods Study [D]. Northeast Petroleum University, 2021. Confucius . Oil pump unit fluid power noise noise acoustic characteristics and their detection methods Study [D] . Northeast Petroleum University , 2021 . Search in Google Scholar

Fang Zhen. The design and realization of the chemical pump fault diagnosis system [d]. Anhui University, 2021. Zhen Fang The design and realization of the chemical pump fault diagnosis system [d] . Anhui University , 2021 . Search in Google Scholar

Wei Lixin, Chu Yongqiang, Liu Fang, etc. Oilfield station oil pumps fuzzy security evaluation [J]. Flow machinery, 2021, 49 (03): 68–73. Lixin Wei Yongqiang Chu Fang Liu , etc. Oilfield station oil pumps fuzzy security evaluation [J] . Flow machinery , 2021 , 49 ( 03 ): 68 73 . Search in Google Scholar

Xu Jia. Under the condition of complex working conditions, the diagnosis of fault diagnosis of high - pressure oil pumps for ships for ships under complex working conditions [D]. Nanjing University of Aeronautics and Astronautics, 2021. Jia Xu Under the condition of complex working conditions, the diagnosis of fault diagnosis of high - pressure oil pumps for ships for ships under complex working conditions [D] . Nanjing University of Aeronautics and Astronautics , 2021 . Search in Google Scholar

Xu Kai, Fushimi, Chen Shijun equivalent. Steaming generator status monitoring system based on LSTM neural network [J]. Application technology, 2020, 47 (06): 96–100. Kai Xu Fushimi, Chen Shijun equivalent. Steaming generator status monitoring system based on LSTM neural network [J] . Application technology , 2020 , 47 ( 06 ): 96 100 . Search in Google Scholar

Wang Yizheng, Wang Yanwu, Gao Hongbin. Diagnosis of ship fuel pump-based fuel pump-based monitoring [J]. Mechanical and Electrical Engineering Technology, 2021, 50 (01): 163–165. Yizheng Wang Yanwu Wang Hongbin Gao Diagnosis of ship fuel pump-based fuel pump-based monitoring [J] . Mechanical and Electrical Engineering Technology , 2021 , 50 ( 01 ): 163 165 . Search in Google Scholar

Li Baisong, Su Jianfeng, Zhang Xing, etc. The diagnosis method of the oil pump inlet and export pipes [J]. Oil and gas storage and transportation, 2021, 40 (01): 21–25. Baisong Li Jianfeng Su Xing Zhang , etc. The diagnosis method of the oil pump inlet and export pipes [J] . Oil and gas storage and transportation , 2021 , 40 ( 01 ): 21 25 . Search in Google Scholar

Ning Shuangsheng. Pipeline pumps safety risk evaluation based on fuzzy FMECA [J]. Safety, 2020, 41 (08): 13–19. Shuangsheng Ning Pipeline pumps safety risk evaluation based on fuzzy FMECA [J] . Safety , 2020 , 41 ( 08 ): 13 19 . Search in Google Scholar

Xu Jing. The diagnosis of aircraft fuel pumps based on wavelets and migration learning [J]. Hydraulic and pneumatic, 2020 (06): 183–188. Jing Xu The diagnosis of aircraft fuel pumps based on wavelets and migration learning [J] . Hydraulic and pneumatic , 2020 ( 06 ): 183 188 . Search in Google Scholar

Guo Rui. ANSYS-based oil pump unit electromagnetic noise production mechanism and simulation research [D]. Northeast Petroleum University, 2020. Rui Guo ANSYS-based oil pump unit electromagnetic noise production mechanism and simulation research [D] . Northeast Petroleum University , 2020 . Search in Google Scholar

Zhang Xinbo. Inquire about the vibration influencing factors and response strategies during the operation of the oil pump [J]. Chemical management, 2019 (33): 120–121. Xinbo Zhang Inquire about the vibration influencing factors and response strategies during the operation of the oil pump [J] . Chemical management , 2019 ( 33 ): 120 121 . Search in Google Scholar

Zhang Dawei. The performance test exploration of the oil pump [J]. Technology Information, 2019, 17 (30): 70+72. Dawei Zhang The performance test exploration of the oil pump [J] . Technology Information , 2019 , 17 ( 30 ): 70 + 72 . Search in Google Scholar

Qin Jianan, Li Wenjin, Cheng Zhenxin, etc. The oil pump unit predicts the establishment and research of the maintenance decision model [J]. Equipment management and maintenance, 2019 (02): 182–184. Jianan Qin Wenjin Li Zhenxin Cheng , etc. The oil pump unit predicts the establishment and research of the maintenance decision model [J] . Equipment management and maintenance , 2019 ( 02 ): 182 184 . Search in Google Scholar

Liu Zhaoquan. Oil pumps typical failure analysis and maintenance [J]. Chemical management, 2019 (03): 40–41. Zhaoquan Liu Oil pumps typical failure analysis and maintenance [J] . Chemical management , 2019 ( 03 ): 4041 . Search in Google Scholar

Xiao Bo ship. Explore the application of oil pump failure diagnosis technology in the refined oil pipeline system [J]. Contemporary chemical research, 2018 (10): 59–60. ship Xiao Bo Explore the application of oil pump failure diagnosis technology in the refined oil pipeline system [J] . Contemporary chemical research , 2018 ( 10 ): 59 60 . Search in Google Scholar

Zhao Jianghui. The application of status monitoring and fault diagnosis system in the oil pump unit [J]. Petrochemical technology, 2018,25 (08): 259. Jianghui Zhao The application of status monitoring and fault diagnosis system in the oil pump unit [J] . Petrochemical technology , 2018 , 25 ( 08 ): 259 . Search in Google Scholar

Baoxia L, Chenchen X, GANG L, et al. Application of Frequency Domain Analysis Method in Vibration Analysis and Fault Diagnosis of Oil Transfer Pump UNIT [J]. Journal of Physics: Conference Series, 2023, 2437 (1). Baoxia L Chenchen X GANG L Application of Frequency Domain Analysis Method in Vibration Analysis and Fault Diagnosis of Oil Transfer Pump UNIT [J] . Journal of Physics: Conference Series , 2023 , 2437 ( 1 ). Search in Google Scholar

liangliang d, qian x, yanjie j, et al. Review of reSearch on intelligent diagnosis of our transfer pump malfunction [J]. Petroleum, 2023,9 (2). liangliang d qian x yanjie j Review of reSearch on intelligent diagnosis of our transfer pump malfunction [J] . Petroleum , 2023 , 9 ( 2). Search in Google Scholar

Yao Sen, Dai Xingzheng, Cai Liang, etc. The research on the risk evaluation technology of the oil pump unit based on multi-level fuzzy analysis method [J]. Comprehensive corrosion control, 2021,35 (10): 53–56. Sen Yao Xingzheng Dai Liang Cai , etc. The research on the risk evaluation technology of the oil pump unit based on multi-level fuzzy analysis method [J] . Comprehensive corrosion control , 2021 , 35 ( 10 ): 53 56 . Search in Google Scholar

He Min, Wang Xingru. Analysis and countermeasures for the causes of failure pump pump pump pumps in the long passing pipeline [J]. Equipment management and maintenance, 2021 (10): 55–57. Min He Xingru Wang Analysis and countermeasures for the causes of failure pump pump pump pumps in the long passing pipeline [J] . Equipment management and maintenance , 2021 ( 10 ): 55 57 . Search in Google Scholar

Lin Yujun, Liu Yong, Zhao Shengsheng. Oil pump online monitoring mobile app design and development [J]. Science and education guidance (early journal), 2020 (28): 43–45. Yujun Lin Yong Liu Shengsheng Zhao Oil pump online monitoring mobile app design and development [J] . Science and education guidance (early journal) , 2020 ( 28 ): 43 45 . Search in Google Scholar

Ou Yonghong, Xu Lidong, Wang Lihong, etc.. Analysis and countermeasure study of the oil pipe oil pump failure pump [J]. Chemical management, 2020 (01): 181. Yonghong Ou Lidong Xu Lihong Wang , etc.. Analysis and countermeasure study of the oil pipe oil pump failure pump [J] . Chemical management , 2020 ( 01 ): 181 . Search in Google Scholar

Qiao Shijin, Qiao Linan. Analysis of the oil pump failure pump in the aircraft supply system [C] // Aviation Industry measurement and control technology development center, China Aviation Society testing technology branch, status monitoring special sensing technology Aviation Technology Key Laboratory. Tenth tenth tenth Sixth China Aviation Control and Control Technology Annual Conference Collection. [Unknown publishers], 2019: 455–456+461. Shijin Qiao Linan Qiao Analysis of the oil pump failure pump in the aircraft supply system [C] // Aviation Industry measurement and control technology development center, China Aviation Society testing technology branch, status monitoring special sensing technology Aviation Technology Key Laboratory . Tenth tenth tenth Sixth China Aviation Control and Control Technology Annual Conference Collection. [Unknown publishers] , 2019 : 455 456+461 . Search in Google Scholar

Xu Guoping. Oil pipeline data collection and monitoring control (SCADA) system oil pump failure analysis of failure pumps [J]. Petroleum and gas stations, 2018,27 (05): 16–19+6. Guoping Xu Oil pipeline data collection and monitoring control (SCADA) system oil pump failure analysis of failure pumps [J] . Petroleum and gas stations , 2018 , 27 ( 05 ): 16 19+6 . Search in Google Scholar

Analysis of Hou Nana. Oil pump failure diagnosis mode [J]. Chemical design communication, 2018,44 (04): 91+106 Analysis of Hou Nana . Oil pump failure diagnosis mode [J] . Chemical design communication , 2018 , 44 ( 04 ): 91 + 106 Search in Google Scholar

Wu Peng. Analysis and countermeasures of the cause of the failure of the oil pipe oil pump pump [J]. Chemical management, 2018 (22): 128. Peng Wu Analysis and countermeasures of the cause of the failure of the oil pipe oil pump pump [J] . Chemical management , 2018 ( 22 ): 128 . Search in Google Scholar

liangliang d, qian x, yanjie j, et al. Review of reSearch on intelligent diagnosis of our transfer pump malfunction [j]. Petroleum, 2023,9 (2). liangliang d qian x yanjie j Review of reSearch on intelligent diagnosis of our transfer pump malfunction [j] . Petroleum , 2023 , 9 ( 2). Search in Google Scholar

Li Xiaoqing. Aquinus neural network and application in fault diagnosis [J]. Digital technology and application, 2022,40 (05): 150–152. Xiaoqing Li Aquinus neural network and application in fault diagnosis [J] . Digital technology and application , 2022 , 40 ( 05 ): 150 152 . Search in Google Scholar

Wang Lei. Diagnosis and health prediction of ore drainage pumps based on multi-source perception [D]. Anhui University of Science and Technology, 2022. Lei Wang Diagnosis and health prediction of ore drainage pumps based on multi-source perception [D] . Anhui University of Science and Technology , 2022 . Search in Google Scholar

Chen Yuhao. Study and application of typical industrial equipment health status prediction methods [D]. Chongqing University, 2022. Yuhao Chen Study and application of typical industrial equipment health status prediction methods [D] . Chongqing University , 2022 . Search in Google Scholar

Luo Shenghua. Research on the diagnosis and health state prediction method of hydraulic pump [D]. Jiangsu University of Science and Technology, 2022. Shenghua Luo Research on the diagnosis and health state prediction method of hydraulic pump [D] . Jiangsu University of Science and Technology , 2022 . Search in Google Scholar

Yin Jingtian. Filling in the diagnosis and health prediction of bearing fault diagnosis and health of the packaging system [D]. Jiangsu University, 2021. Jingtian Yin Filling in the diagnosis and health prediction of bearing fault diagnosis and health of the packaging system [D] . Jiangsu University , 2021 . Search in Google Scholar

Shan Yahui. Research on the trend of vibration failure and health performance trends of hydropower units [D]. Huazhong University of Science and Technology, 2021. Yahui Shan Research on the trend of vibration failure and health performance trends of hydropower units [D] . Huazhong University of Science and Technology , 2021 . Search in Google Scholar

Ye Chunwei. Research on Early Equipment Diagnosis and Maintenance Strategy [D]. Nanjing University, 2021. Chunwei Ye Research on Early Equipment Diagnosis and Maintenance Strategy [D] . Nanjing University , 2021 . Search in Google Scholar

Guli, Zou Yongsheng, Li Kaihong, etc. The ARMA model in the ARMA model in the research on the ectopic value trend of the oil pump vibration [J]. Fluid machinery, 2021, 49 (01): 22–28. Guli Zou Yongsheng Kaihong Li , etc. The ARMA model in the ARMA model in the research on the ectopic value trend of the oil pump vibration [J] . Fluid machinery , 2021 , 49 ( 01 ): 22 28 . Search in Google Scholar

Xu Kai. Research on the monitoring system based on the status characteristics [D]. Harbin Engineering University, 2020. Kai Xu Research on the monitoring system based on the status characteristics [D] . Harbin Engineering University , 2020 . Search in Google Scholar

Liu Jialong. Study on the diagnosis and health prediction of high-speed train steering racks based on data-driven high-speed trains [D]. Northeast University, 2020. Jialong Liu Study on the diagnosis and health prediction of high-speed train steering racks based on data-driven high-speed trains [D] . Northeast University , 2020 . Search in Google Scholar

Qiao Ningguo. High-speed train transmission systems based on multi-sensor data fusion prediction and health prediction [D]. Jilin University, 2019. Ningguo Qiao High-speed train transmission systems based on multi-sensor data fusion prediction and health prediction [D] . Jilin University , 2019 . Search in Google Scholar

eISSN:
2470-8038
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, andere