Analysis of vibration and noise of induction motor equipped with concentric single-double-layer star-delta winding

Abstract

Compared with changing the structure of a motor that has been manufactured, changing the type of stator winding is an economical and time-saving method to reduce the vibration and noise. Thus, a concentric single-double-layer star-delta (CSDLSD) winding for an induction motor is described in this paper with the aim of reducing the noise of the motor. By planning the turns relationship between the two parts of the winding, the harmonic component of the air-gap magnetic field can be decreased. Besides this, through adjusting the turns ratio in each slot of concentric winding per phase respectively, the waveform of the air-gap magnetic field becomes closer to a sinusoidal type. Three motors equipped with the CSDLSD winding and another two types of stator winding were analyzed. The theoretical analysis and the two-dimensional finite element method (2D-FEM) were combined to study the relationship between the harmonics of the air-gap magnetic field and the stator winding. Finally, a 2D fast Fourier transformation (2D-FFT) method was used to obtain the time-frequency spectrum of the air-gap flux density and electromagnetic excitation force, and compared with a natural vibration wave. The noise distribution was obtained using the harmonic response. The results of the theoretical analysis, 2D-FEM, 2D-FFT, and harmonic response corroborate each other such that the motor applying CSDLSD winding could reduce both the vibration and noise.

Noise in Electric Motors: A Comprehensive Review

“…In [44], the authors propose a new star-delta connected concentric winding configuration, reducing the noise level by 10 dB(A). Finally, the author of [45] shows that short-pitched windings have a lower noise level than windings without shortened pitch.…”

Abnormal State Detection of OLTC Based on Improved Fuzzy C-means Clustering

“…Thereafter, the signal denoised by WP is subjected to the secondary denoising using SSA. Generally, the SSA is used to remove small noise disturbances in the signal [20][21] . While maintaining the signal characteristics as far as possible, it improves the denoising accuracy and meets the requirements of secondary denoising.…”

“…The EMD algorithm, which has been applied for signal analysis for a long time [11][12][13] , was also introduced to detect the mechanical state of the OLTC [14][15] . In addition to the aforementioned methods or algorithms, including the wavelet transform analysis, EMD, Hilbert transform, and K-means clustering, other methods such as the Fourier transform [16] , deep belief network (DBN) [17][18] , wavelet and modal analysis [19] , and expert system [20] were proposed for analyzing the vibration signals of the OLTC.…”

Model-free control-based vector control of synchronous reluctance motor

“…The synchronous reluctance motors (SynRMs) have recently attracted a lot of attention across a wide range of industrial applications owing to its small size, lower cost, high reliability, high overload ability, high dynamic, great reliability and high power density [1][2][3][4][5][6]. Furthermore, the SynRMs are seen as a better alternative to induction motors and permanent magnet synchronous motors for many applications, such as fans, washing machines and electric vehicles.…”