Condition Assessment of Power Plant Motors Using a Set of Diagnostic Methods

被引:0
作者
Nazarychev A.N. [1 ]
Strakhov A.S. [2 ]
Novoselov E.M. [2 ]
Kolobov A.B. [2 ]
Polkoshnikov D.A. [2 ]
Zakharov M.A. [2 ]
Sulynenkov I.N. [2 ]
Skorobogatov A.A. [2 ]
机构
[1] St. Petersburg Mining University, St. Petersburg
[2] V. I. Lenin Ivanovo State Power Engineering University, Ivanovo
关键词
auxiliary of the power plants; external magnetic field; induction motors; signature analysis; stator current; technical state; vibration monitoring;
D O I
10.1007/s10749-023-01684-9
中图分类号
学科分类号
摘要
Questions on the joint application of various diagnostic methods in order to evaluate the technical state of the functional units of induction motors are examined. The possibility of using a set of methods of vibration monitoring and signature analysis of the stator current and external magnetic field in the start-up and steady-state modes of induction motors is assessed. The studies were conducted on an actual high-voltage induction motor of the induced-draft fan of one of the thermal power plants. During the study, a search was done for mechanical defects, dynamic eccentricity, and rotor winding faults. The results of the conducted studies were analyzed, and confirmation was done of the effectiveness and expediency of the methods of the joint application of vibration monitoring and signature analysis of the signals of the stator current and external magnetic field, in order to detect faults in the rotor winding and the mechanical components of the induction motors. © 2023, Springer Science+Business Media, LLC, part of Springer Nature.
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页码:458 / 464
页数:6
相关论文
共 22 条
  • [1] Nazarychev A.N., Krupenev D.S., Reliability and Evaluation of the Technical State of the Equipment of Electric Power Supply Systems. Textbook [In Russian], (2020)
  • [2] Thomson W.T., Gilmore R.J., Motor current signature analysis to detect faults in induction motor drives. — Fundamentals, Data Interpretation and Industrial Case Histories, Turbomachinery Symposium, pp. 145-156, (2003)
  • [3] Thakur A., Wadhwani S., Wadhwani A.K., Motor current signature analysis as a tool for induction machine fault diagnosis, Int. J. Comp. Sci. Inf. Tech. Res., 3, 3, pp. 309-313, (2015)
  • [4] Mehala N., Current signature analysis for condition monitoring of motors, Int. J. Elec. Comp. Eng., 1, 3, pp. 1629-1633, (2012)
  • [5] Turk N., Fault diagnosis of induction motor using MCSA, Int. J. Elec. Comp. Eng., 8, pp. 13-18, (2016)
  • [6] Shukla S., Jha M., Qureshi M.F., Motor current signature analysis for fault diagnosis and condition monitoring of induction motors using interval type-2 fuzzy logic, Int. J. Innov. Sci. Eng. Tech. (UISET), 1, 5, pp. 84-95, (2014)
  • [7] Romary R., Corton R., Thailly D., Brudny J.F., Induction machine fault diagnosis using an external radial flux sensor, EPJ. Appl. Phys., 32, 2, pp. 125-132, (2005)
  • [8] Fireteanu V., Romary R., Pusca R., Ceban A., Finite element analysis and experimental study of the near-magnetic field for detection of rotor faults in induction motors, Prog. Electromagn. Res., 50, pp. 37-59, (2013)
  • [9] Alekseenko A.Y., Brodskii O.V., Vedenev V.N., Tonkikh V.G., Khomutov S.O., (2006)
  • [10] Andreeva O.A., Development of Methods for Diagnosing Auxiliary Drives of Power Plants [In Russian], (2015)