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The aim of this paper is to present a wavelet-based method for broken-bar detection in squirrel-cage induction machines. The frequency-domain methods, which are commonly used, need speed information or accurate slip estimation for frequency-component localization in any spectrum. Nevertheless, the fault frequency bandwidth can be well defined for any(More)
The aim of this paper is to present the advantage of stator fault detection using an external flux sensor in working induction machine. In the past twenty years, axial flux sensors have been used for diagnosis purpose but rarely in presence of complex power supply such as voltage static inverter. In this paper, it is proved that a simple external flux(More)
The aim of this paper is to analyze theoretically and experimentally the stator current of a three-phase squirrel-cage induction machine in order to show how it is influenced by electrical rotor faults. The approach used for this study analyzes the modification introduced by n broken rotor bars in the rotor cage magnetomotive force and then estimates the(More)
The aim of this paper is the analytical and experimental study of a gearbox by using the stator current signature analysis in the driving induction machines. The mechanical study using the vibration signal analysis has been well studied before. Recently, some works have been performed to observe the vibration components of the mechanical part in the stator(More)
The aim of this paper is to develop a method to validate an equivalent internal circuit of the three-phase squirrel-cage induction machine for advanced signal processing including fault diagnosis. The proposed method is based on the computation of the stator and rotor current spectra. An experimental setup for an 11-kW induction machine was developed in(More)
The main topic of this paper is to examine the feasibility of detecting the rotor faults of induction machines by performing standstill tests. It has been shown that by feeding the machine with special excitation signals such as discrete interval binary sequence (DIBS) and multisine, it is possible to excite with low-frequency resolution the faulty modes by(More)
Detection and identification of induction machine faults through the stator current signal using higher order spectra analysis is presented. This technique is known as motor current signature analysis (MCSA). This paper proposes two higher order spectra techniques, namely the power spectrum and the slices of bi-spectrum used for the analysis of induction(More)