Browse > Article
http://dx.doi.org/10.5391/IJFIS.2015.15.3.166

Analysis of Fault Diagnosis for Current and Vibration Signals in Pumps and Motors using a Reconstructed Phase Portrait  

Jung, Young-Ok (Department of Electrical and Semiconductor Engineering, Chonnam National University)
Bae, Youngchul (Division of Electrical, Electronic Communication and Computer Engineering, Chonnam National University)
Publication Information
International Journal of Fuzzy Logic and Intelligent Systems / v.15, no.3, 2015 , pp. 166-171 More about this Journal
Abstract
In this paper, we measure the current and vibration signals of one-dimensional time series that occur in a motor and pump, respectively. These machines are representative rotary and pumping machines. We also eliminate unnecessary components such as noise by pre-processing the current and vibration signals. Then, in order to diagnose fault signals for the pump and motor, we transform from one-dimensional time series to a two-dimensional phase portrait using Takens’ embedding method. After this transformation, we review the variation in the pattern according to the fault signals.
Keywords
Fault diagnosis; Embedding method; chaos. Phase portrait;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Hwang, S and Bae, Y., “Diagnosis of power supply using time-series of infrared camera,” J. of the Korea Institute of Electronic Communication Science, 2012, vol. 7, no. 6, pp. 1443-1447.   DOI
2 Bae, Y., “Diagnosis of power supply by analysis of chaotic nonlinear dynamics,” J. of the Korea Institute of Electronic Communication Science, 2013, vol. 8, no. 1, pp. 113-1119.   DOI
3 Takens. F, “Detecting strange attractors in turbulence, in dynamical system and turbulence,” Lecture notes in Mathematics, 1981, 898, pp. 363-381.
4 Colby. R, Mottier. S, Francois, M, and Miller. T.J.E, “Vibration modes and acoustic noise in a four-phase switched reluctance motor,” IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, vol. 32, no. 6, pp. 1357-1364, 1996.   DOI
5 Nandi. S, Toliyat. H.A, and Xiaodong. L, “Condition monitoring and fault diagnosis of electrical motors-a review,” IEEE Transactions on Energy Conversion, vol. 20, no. 4, pp. 719-729, 2005.   DOI
6 Razik. H, and Correa.M, “The tracking of induction motor’s faulty lines through particle swarm optimization using chaos,” Industrial Technology (ICIT), 2010 IEEE International Conference on Vi a del, pp.1245-1250, Mar, 14-17 March 2010.
7 Vas. P, Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines, 1993, Clarendon.
8 Kliman, G.B, and Stein, J,“Induction motor fault detection via passive current monitoring”, Proc. Int. Conf. Electrical Machines, pp.13 -17 1990.
9 Singh, G.K, and Kazzazb, S.A.S.A, “Induction machine drive condition monitoring and diagnostic research survey,” in Electric Power Systems Research, vol. 64, no. 2, pp. 145-158, Feb. 2003   DOI
10 Benbouzid, M.E.H, “A review of induction motors signature analysis as a medium for faults detection,” in IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 984993, Oct. 2000.   DOI
11 Thomson, W.T, Deans, N.D, Leonard, R.A, and Milne A.J., “Monitoring Strategy for Discriminating Between Different Types of Rotor Defects in Induction Motors,” in Proc. 18th Power engineering Conference, April 1983.
12 Kliman, G.B, Koegl, R.A, Stein, J, Koegl, R.A, Endicott, R.D and Madden, M.W, “Noninvasive detection of broken rotor bars in operating induction motors,” in IEEE Trans. Energy Convers., vol. 3, no. 4, pp. 873 879, Dec. 1988.   DOI