Detection of Eccentricity Faults in Induction Machines Based on Nameplate Parameters

Dept. of Electr. & Comput. Eng., Univ. of Victoria, Victoria, BC, Canada
IEEE Transactions on Industrial Electronics (Impact Factor: 6.5). 06/2011; 58(5):1673 - 1683. DOI: 10.1109/TIE.2010.2055772
Source: IEEE Xplore


Eccentricity-related faults in induction motors have been studied extensively over the last few decades. They can exist in the form of static or dynamic eccentricity or both, in which case it is called a mixed eccentricity fault. These faults cause bearing damage, excessive vibration and noise, unbalanced magnetic pull, and under extreme conditions, stator-rotor rub which may seriously damage the motors. Since eccentricity faults are often associated with large induction machines, the repair or replacement costs arising out of such a scenario may easily run into tens and thousands of dollars. Previous research works have shown that it is extremely difficult to detect such faults if they appear individually, rather than in mixed form, unless the number of rotor bars and the pole-pair number conform to certain relationships. In this paper, it is shown that the terminal voltages of induction machines at switch-off reveal certain features that can lead to the detection of these faults in individual form, even in machines that do not show these signatures in line-current spectrum in steady state, or to the detection of the main contributory factor in case of mixed eccentricity.

1 Follower
29 Reads
  • Source
    • "Consequently, indicators of mixed RE overall level have been tried. Separate detection of SRE and DRE by using terminal voltage analysis at the electrical machine switch-off is reported in [19], and detection of RE in the presence of load torque oscillations is reported in [21]. The external flux is used in [22], where a DRE-related slip-frequency signature is detected by an axial coil. "
    [Show abstract] [Hide abstract]
    ABSTRACT: The fault diagnosis of rotating electrical machines has received an intense amount of research interest during the last 30 years. Reducing maintenance costs and preventing unscheduled downtimes, which result in losses of production and financial incomes, are the priorities of electrical drives manufacturers and operators. In fact, both correct diagnosis and early detection of incipient faults lead to fast unscheduled maintenance and short downtime for the process under consideration. They also prevent the harmful and sometimes devastating consequences of faults and failures. This topic has become far more attractive and critical as the population of electric machines has greatly increased in recent years. The total number of operating electrical machines in the world was around 16.1 billion in 2011, with a growth rate of about 50% in the last five years [1].
    IEEE Industrial Electronics Magazine 06/2014; 8(2):31-42. DOI:10.1109/MIE.2013.2287651 · 4.03 Impact Factor
  • Source
    • "where í µí±“ is fundamental frequency, í µí±˜ is positive integer number, í µí±“ í µí±Ÿ is the rotational frequency (speed) of motor (Hz), í µí± is the slip, and í µí± is the pole pair number. Meanwhile, the high-frequency components related to static eccentricity are specified in a compact form by the following equation [34] "
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper is dedicated to investigating static eccentricity in a three-phase LSPMSM. The modeling of LSPMSM with static eccentricity between stator and rotor is developed using finite element method (FEM). The analytical expression for the permeance and flux components of nonuniform air-gap due to static eccentricity fault is discussed. Various indexes for static eccentricity detection using stator current signal of IM and permanent magnet synchronous motor (PMSM) are presented. Since LSPMSM is composed of a rotor which is a combination of these two motors, the ability of these features is evaluated for static eccentricity diagnosis in LSPMSM. The simulated stator current signal of LSPMSM in the presence of static eccentricity is analyzed in frequency domain using power spectral density (PSD). It is demonstrated that static eccentricity fault generates a series of low frequency harmonic components in the form of sidebands around the fundamental frequency. Moreover, the amplitudes of these components increase in proportion to the fault severity. According to the mentioned observations, an accurate frequency pattern is specified for static eccentricity detection in three-phase LSPMSM.
    Mathematical Problems in Engineering 01/2014; 2014:1-12. DOI:10.1155/2014/132647 · 0.76 Impact Factor
  • Source
    • "RACTION motors used in railway applications are heavily solicited electromechanical converters subject to a number of faults. Broken bars [1], [2], rotor misalignments [3], [4], stator faults [5], and gear faults [6] are not uncommon in traction motors, nonetheless these motors are required to offer an high degree of affordability, to avoid service interruption, delays, and incidents. Broken bars in "
    [Show abstract] [Hide abstract]
    ABSTRACT: A 1130kW squirrel-cage induction motor used for railway traction is analyzed in this paper in case of eccentric rotor. Since the motor has parallel-connected windings, the air-gap unbalance makes rise unbalanced currents in the stator branches, and the split-phase current signature analysis can be attempted for fault detection. The split-phase currents are better analyzed when transposed in the complex domain, by using symmetrical components. Moreover, the rotor cage currents must be carefully taken in account in the model, since they develop a powerful damping effect on the signature of static eccentricity. This paper shows that the faulted machine can be represented by the superimposition of five equivalent circuits corresponding to five centered-rotor virtual machines, useful for fault-related split-phase current calculation. The mathematical modeling shown in this paper is useful to carry out a diagnostic method, as shown in a companion paper. The latter also reports confirmatory simulations of the faulted 1130kW motor, based on winding function approach.
    EPECS’13 3rd International Conference on Electric Power and Energy Conversion Systems, Istanbul, Turkey; 10/2013
Show more