The Application of the Bispectrum Analysis to Detect the Rotor Unbalance of the Induction Motor Supplied by the Mains and Frequency Converter

Abstract

This article presents the effectiveness of bispectrum analysis for the detection of the rotor unbalance of an induction motor supplied by the mains and a frequency converter. Two diagnostic signals were analyzed, as well as the stator current and mechanical vibrations of the tested motors. The experimental tests were realized for two low-power induction motors, with one and two pole pairs, respectively. The unbalance was modeled using a test mass mounted on a specially prepared disc and directly on the rotor and the influence of this unbalance location was tested and discussed. The results of the bispectrum analysis are compared with results of Fourier transform and the effectiveness of unbalance detection are discussed and compared. The influence of the registration time of the analyzed signal on the quality of fault symptom analyses using both transforms was also tested. It is shown that the bispectrum analysis provides an increased number of fault symptoms in comparison with the classical spectral analysis as well as it is not sensitive to a shorter registration time of the diagnostic signals.

On-line Detection and Classification of PMSM Stator Winding Faults Based on Stator Current Symmetrical Components Analysis and the KNN Algorithm

“…Signal processing methods based on High-Order Transforms (HOTs) are also used in PMSM stator winding fault diagnostics. HOTs that have been applied in diagnostics are bispectrum [28,29], MUltiple Signal Classification (MUSIC) [30] and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) [31]. In addition to the processing of the stator phase current signal, attempts have also been made to use the symmetrical components of the stator current for stator winding fault detection of induction motors [32] and PMSMs [33].…”

Modern Electrical Drives: Trends, Problems, and Challenges

“…Ewert [7] presents the effectiveness of a bispectrum analysis for the detection of the rotor unbalance of an induction motor supplied by the mains and a frequency converter. Two diagnostic signals, as well as the stator current and mechanical vibrations of the tested motors were analyzed.…”

“…Very often, they are multidisciplinary works. In this Special Issue, 10 manuscripts were published that deal with the following topics: control strategies for different types of electrical motors [1][2][3], estimations of non-measurable states and parameters [3], sensorless control of electrical drives [1,2], the application of advanced control methodologies for high performance control of electrical drives [4][5][6], diagnoses, monitoring, and prognoses in electrical drives [7][8][9][10], and control of complex mechatronic systems, while taking the mechanical part of the system into account [3,4,6].…”

A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers

“…In the passive system, stability is provided by using a properly designed controller, without use of the controller reconfiguration and the FDI block, even when a fault occurs. Therefore this method is computationally interesting [3] and much easier to implement [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. In [3], passive FTC, robust to the stator inter-turn short-circuit Energies 2021, 14, 3443 2 of 18 fault (ITSC) of an induction machine (IM), is presented.…”

“…In the case of drive systems, three main types of faults can be indicated, starting with power electronics faults, which can be divided into power semiconductor faults and DC bus faults [17][18][19]. Another type of failure are mechanical faults [20,21,23] and electrical faults [24][25][26] concerning the motor. The last type are sensors faults, which may concern mechanical or electrical variables [2].…”