An investigation on acoustic noise emitted by induction motors due to magnetic sources

Cheraghi, Mohsen; Karimi, Mehran; Booin, Mohammad Bayati

doi:10.1109/pedstc.2018.8343780

Cited by 5 publications

(6 citation statements)

References 35 publications

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“…Acoustic emission has been widely investigated in the literature as a CM quantity useful in different application fields such as pumps, industrial electrical machines, and so on. Moreover, in the field of power electronics, acoustic monitoring has been extensively used to detect any defects or damage in transformers and capacitors [25][26][27]. Only in the last decade, a few works have been focused on the acoustic phenomenon such as a measurement method for monitoring the SOH of the power semiconductor devices [28][29][30][31][32][33].…”

Section: Acoustic Methodsmentioning

confidence: 99%

Two Decades of Condition Monitoring Methods for Power Devices

2021

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Condition monitoring (CM) of power semiconductor devices enhances converter reliability and customer service. Many studies have investigated the semiconductor devices failure modes, the sensor technologies, and the signal processing techniques to optimize the CM. Furthermore, the improvement of power devices’ CM thanks to the use of the Internet of Things and artificial intelligence technologies is rising in smart grids, transportation electrification, and so on. These technologies will be widespread in the future, where more and more smart techniques and smart sensors will enable a better estimation of the state of the health (SOH) of the devices. Considering the increasing use of power converters, CM is essential as the analysis of the data obtained from multiple sensors enables the prediction of the SOH, which, in turn, enables to properly schedule the maintenance, i.e., accounting for the trade-off between the maintenance cost and the cost and issues due to the device failure. From this perspective, this review paper summarizes past developments and recent advances of the various methods with the aim of describing the current state-of-the-art in CM research.

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Section: Acoustic Methodsmentioning

confidence: 99%

Two Decades of Condition Monitoring Methods for Power Devices

2021

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“…Magnetic noise associated with the magnetostriction of the stator steel is a problem for almost all medium/high power motors [1][2][3][4][5][6]. It leads to many unfavorable phenomena: a change in the harmonic composition of the supply voltage, wear of bearings, acoustic noise, an increase in power consumption and destruction of electric motors [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…The most intense are the radial magnetic forces that cause stator vibrations. This forces are proportional to the square of the magnetic field value in the SCIM airgap [1,4,5,13]:…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Active reduction of magnetic noise occurring in the stators of an induction motors

Ermolaev¹,

Erofeev²,

Plekhov³

et al. 2021

Vib. proced.

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The article describes a method for active reduction of magnetic noise generated by a magnetic field that exists in the airgap of an induction motor. In this article a mathematical model of the process of magnetic noise excitation in a stators is presented. The model take into account that magnetic field waves, radial magnetic force waves (so-called Maxwell forces) and stator deformation waves (magnetic noise) are characterized by their own values of amplitude, mode number, frequency and phase shift. By comparing the equations for calculating the stator mechanical impedance, the amplitude of the radial magnetic force and the simplified magnetic noise equation, the relationships between these variables were established. The method of active reduction of magnetic noise proposed in the article is based on the use of these relationships. The novelty of the proposed method lies in the use of the filtered spectrum of output signal of the accelerometer installed on the stator to determine the most intense harmonics of the magnetic field in the motor airgap in order to further suppress them. The compensation signal generated by a special device adapts not only in frequency, but also in phase and amplitude of each vibration-disturbing harmonic.

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“…During actual on-field measurements, the signals handled by diagnostic engineers for the aforementioned purposes may vary: motor currents and voltages harmonic signature analyses have ushered the early diagnostic techniques of motor current signature analysis (MCSA) [10][11][12][13] and motor voltage signature analysis (MVSA) [14][15][16]; vibration, stress, torque and speed measurements lie on the foundation of the NVH (noise/vibration/harshness) analysis [17][18][19]; externally radiated magnetic fields monitoring is still revealing promising results for stray flux signature analysis (SFSA) [20][21][22][23] and, less frequently, measurements of acoustic noise emissions are evaluated [24][25][26]. Representative literature for more detailed information on these techniques can be reviewed in [27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%