In this paper, a new technique based on the manipulation of stator current signature for induction machines fault diagnosis is introduced. The goal proposed method to demodulate characteristic frequencies from supply frequency and preserve information its harmonics. can be easily implemented used in experimental systems due low computational complexity. validity proved through theoretical analy...

The aim of this work is the application of the phase variation in vibration signal for fault detection on rotating machines. The vibration signal from the machine is modulated in amplitude and phase around a carrier frequency. The modulating signal in phase is determined after the Hilbert transform and is used, with the Fast Fourier Transform, to extract the harmonics spectrum in phase. This me...

The work undertaken in this research focuses on advanced condition monitoring and fault detection methods for wind turbines (WTs). Fourier Transform (FFT) and Short Time Fourier transform (STFT) algorithms are proposed to effectively extract fault signatures in generator current signals (GCS) for WT fault diagnosis. With this aim, a WT model has been implemented in the MATLAB/Simulink environme...

In this paper, Hall-effect sensor faults are investigated in Sinusoidal-current-fed Permanent Magnet In-wheel Motor (PMIM) drives. And an effective methodology for their diagnostic and compensation is proposed. In particular, fault diagnostic only based Hall sensors signal, at the rising or falling edges of Hall signal, fault types of Hall sensors are diagnosed according to the specific type of...

This paper presents an online trained Fuzzy logic system based on FPGA to fault detection of broken rotor bar for squirrel cage induction motor. Fuzzy logic approach may help to diagnose induction motor faults in remote site and transmit fault diagnosis (via GSM\GPRS cellular network technology) to maintenance office or a programmed cell phone. The motor current signal is analyzed through the F...

This paper presents a new diagnosis method of induction motor faults based on time–frequency classification of the current waveforms. This method is composed of two sequential processes: a feature extraction and a rule decision. In the process of feature extraction, the time–frequency representation (TFR) has been designed for maximizing the separability between classes representing different f...