Abstract:In order to further research the application of sensorless detection technology in operation detection of centrifugal pumps, the background and research status of such a technology have been reviewed first. The sensorless detection technology is a kind of method of monitoring pumps through testing the stator current and voltage and analyzing motor torque signal by using induction motors as torque transducers. This could decrease the cost and make it convenient to use. The problems in traditional condition detection technology could be resolved, because most of centrifugal pumps are driven by induction motors. Currently,the research into the centrifugal pump detection technology focuses mainly on the diagnosis of the motor and its mechanical components, identification of centrifugal pump operation condition and extraction and analysis methods of motor output signals. Most of the researches focus on the theory and simulation. Then deficiency in the research of sensorless detection technology applied in centrifugal pump operation detection has been proposed, such as limited research of internal flow state of centrifugal pumps in literatures, less research of identification of specific flow state, little research on the extraction of various internal flow states characteristics in centrifugal pumps. Finally, the future tendency of such a technology has been proposed. The breakthraghof this technology lies in the research of unsteady characteristics of hydraulic load torque, response characteristics of transient hydraulic load torque in centrifugal pump shaft transmission and motor system, as well as extraction of various flow states characteristics in centrifugal pumps.
[1]王凯, 张永祥, 李军,等. 泵的故障诊断研究综述[J]. 水泵技术, 2007(1): 1-5. Wang Kai, Zhang Yongxiang, Li Jun, et al. Summary of research on diagnosis of pump faults [J]. Pump Technology, 2007(1):1-5.(in Chinese)[2]袁建平, 袁寿其, 何志霞, 等. 离心泵内部流动测试研究进展[J]. 农业机械学报, 2004, 35(4): 188-191. Yuan Jianping, Yuan Shouqi, He Zhixia, et al. Research advance in flow of centrifugal pumps [J]. Transactions of the Chinese Society for Agricultural Machinery, 2004, 35(4):188-191.(in Chinese)[3]陈晓宗. 离心泵的故障诊断方法及故障评定[J]. 科技与企业, 2012(17): 322. Chen Xiaozong. Diagnostic method and fault classification of centrifugal pump[J]. Technology Monograph, 2012(17): 322.(in Chinese)[4]Gonzalez J, Santolaria C. Unsteady flow structure and global variables in a centrifugal pump[J]. Journal of Fluids Engineering, 2006, 128(5): 937-946.[5]Liang B, Payne B S, Ball A D, et al. Simulation and fault detection of three-phase induction motors[J]. Mathematics and Computers in Simulation, 2002, 61(1): 1-15.[6]Siegler J A, Sarkady A A, Nemarich C, et al. Motor current signal analysis for diagnosis of fault conditions in shipboard equipment[J]. Naval Engineers Journal, 1995, 107(1): 77-98.[7]Casada D. Screen pumping systems for energy savings opportunities [J]. Journal of the Association of Energy Engineering, 2000, 97(2):43-63.[8]Haynes H D, Cox D F, Welch D E, et al. Electrical signature analysis(ESA)as a diagnostic maintenance technique for detecting the high consequence fuel pump failure modes[R]. Oak Ridge National Laboratory, 2002.[9]Obaid R R, Habetler T G. Effect of load on detecting mechanical faults in small induction motors[C]//Proceedings of Diagnostics for Electric Machines, Power Electronics and Drives. Piscataway:IEEE, 2003: 307-311.[10]Harihara P P, Parlos A G. Sensorless detection and isolation of faults in motor-pump systems[C]//Proceedings of 2008 International Mechanical Engineering Congress and Exposition. New York: ASME, 2008: 43-50.[11]Harihara P P, Parlos A G. Sensorless detection of cavitation in centrifugal pumps[C]//Proceedings of 2006 International Mechanical Engineering Congress and Exposition. New York: ASME, 2006: 187-192.[12]Harihara P P, Parlos A G. Sensorless detection of impeller cracks in motor driven centrifugal pumps[C]//Proceedings of 2008 International Mechanical Enginee-ring Congress and Exposition. New York: ASME, 2008: 17-23.[13]Harihara P P, Parlos A G, et al. Using motors to detect degradations[J].World Pumps,2011(11):24-29.[14]Ahonen T, Tamminen J, Ahola J, et al. Accuracy study of frequency converter estimates used in the sensorless diagnostics of induction-motor-driven systems[C]//Proceedings of 2011 14th European Conference on Power Electronics and Applications. Piscataway: IEEE, 2011: 1-10.[15]Stopa M M, Lage B L O. An evaluation of the mcsa method when applied to detect faults in motor driven loads[C]//Proceedings of IECON 2010 36th Annual Conference on IEEE Industrial Electronics Society. Piscataway:IEEE, 2010: 760-765.[16]Ahonen T, Tamminen J, Ahola J, et al. Sensorless pump operation estimation[C]//Proceedings of 2009 13th European Conference on Power Electronics and Applications, EPE ′09. Piscataway:IEEE, 2009: 1-10.[17]Ahonen T. Monitoring of Centrifugal Pump Operation by a Frequency Converter[D]. Lappeenranta: Institute of Energy Technology, Lappeenranta University of Techno-logy, 2011.[18]Sebastian D, Manjusha V A, Anto R, et al. Energy management of induction motors using non-intrusive methods[C]//Proceeding of Power, Energy and Control(ICPEC). Piscataway:IEEE, 2013: 767-772.[19]孟庆丰. 信号特征提取方法与应用研究[D]. 西安:西安电子科技大学电子工程学院, 2005.[20]张克南.MCSA在异步电动机拖动设备故障诊断中的应用[D].沈阳:东北大学机械工程与自动化学院,2006.[21]时献江.异步电动机及其驱动设备的无传感器故障诊断方法研究[D].哈尔滨:哈尔滨理工大学机械动力工程学院,2009.[22]黄禹中, 褚林, 何红梅. 用电动机运行电流检测离心泵的工况特性[J]. 化工装备技术, 2003, 24(3):43-45. Huang Yuzhong, Zhu Lin, He Hongmei. Detection of characteristics of centrifugal pump working condition through motor current[J]. Chemical Equipment Technology, 2003, 24(3):43-45.(in Chinese)[23]梁凤兰. 电动机传感器对浸入式泵机械故障监测的实验研究[J]. 振动工程学报, 2004, 17(增刊):408-410. Liang Fenglan. Preliminary experimental study on electric motor-sensing of mechanical fault in immerged pump[J]. Journal of Vibration Engineering, 2004, 17(S):408-410.(in Chinese)[24]胡河宇, 赵惠平. 柱塞泵对异步电动机定子电流的谐波分析[J]. 舰船科学技术, 2007, 29(增刊1): 55-57. Hu Heyu,Zhao Huiping.The analysis of stator harmonic current when piston pump is driven by asynchronous motor [J].Ship Science and Technology, 2007,29(S1):55-57.(in Chinese)[25]Parrondo J L, Velarde S, Santolaria C, et al. Development of a predictive maintenance system for a centrifugal pump[J]. Journal of Quality in Maintenance Enginee-ring, 1998, 4(3):198-211.[26]Nelson W E, Dufour J W. Pump vibrations[C]//Proceedings of the Ninth International Pump Users Sympo-sium. Texas: Texas A&M University, College Station,1992: 137-147.[27]Florjancic S, Frei A. Dynamic loading on pumps—Causes for vibrations[C]//Proceedings of the Tenth International Pump Users Symposium. Texas: Texas A&M University, College Station, 1993: 171-184.[28]Pavesi G, Cavazzini G, Ardizzon G, et al. Time-frequency characterization of the unsteady phenomena in a centrifugal pump [J]. International Journal of Heat and Fluid Flow, 2008, 29(5): 1527-1540.[29]王秀礼, 袁寿其, 朱荣生, 等. 离心泵变工况过渡过程瞬态水力特性研究[J]. 振动与冲击, 2012, 31(24): 48-53. Wang Xiuli, Yuan Shouqi, Zhu Rongsheng, et al. Transient hydraulic characteristics of a centrifugal pump under variable working conditions [J]. Journal of Vibration and Shock, 2012, 31(24): 48-53.(in Chinese)[30]Stopa M M, de Jesus Cardoso Filho B. Load torque signature analysis: An alternative to MCSA to detect faults in motor driven loads[C]//Proceedings of Energy Conversion Congress and Exposition(ECCE). Piscataway: IEEE, 2012: 4029-4036.[31]阎庆绂, 马素霞, 李治勤,等. 泵系统的流体力学特性[J]. 农业机械学报, 1996, 27(2): 60-65. Yan Qingfu, Ma Suxia, Li Zhiqin,et al. Pump system′s hydromechanics characters[J]. Transactions of the Chinese Society for Agricultural Machinery,1996,27(2):60-65.(in Chinese)[32]王勇, 刘庆, 刘东喜, 等. 不同叶片冲角离心泵内流诱导振动噪声研究[J]. 流体机械, 2013, 41(7): 1-4. Wang Yong, Liu Qing,Liu Dongxi,et al. Analysis of flow induced vibration and noise in centrifugal pumps withdifferent blade inlet incidence angle[J]. Fluid Machinery,2013, 41(7): 1-4.(in Chinese)[33]杨军虎, 王玥, 郭斌, 等. 叶片进口边位置对双吸离心泵性能的影响分析[J]. 流体机械, 2013, 41(1): 49-52. Yang Junhu,Wang Yue,Guo Bin,et al. Researchon influence of blade inlet position of double-suction pump performance[J]. Fluid Machinery,2013, 41(1):49-52.(in Chinese)[34]尹成红. 离心泵的故障诊断方法及故障评定[D]. 大庆:大庆石油学院机械工程学院, 2005.[35]杨江天, 赵明元, 张志强, 等. 基于定子电流小波包分析的牵引电动机轴承故障诊断[J]. 铁道学报, 2013, 35(2): 32-36. Yang Jiangtian, Zhao Mingyuan, Zhang Zhiqiang,et al. Traction motor bearing fault detection via wavelet packet analysis of stator currents [J]. Journal of the China Railway Society,2013,35(2):32-36.(in Chinese)[36]张春海, 宋秋艳. 基于小波变换的扭振测量方法[J]. 电力勘测设计, 2012(4): 30-32. Zhang Chunhai, Song Qiuyan. Application of torsion measurement method for littlewave changing to failure analysis of turbo generator set[J].Electric Power Survey and Design,2012(4):30-32.(in Chinese)