Title :
Application of generalized demodulation in bearing fault diagnosis of inverter fed induction motors
Author :
Cui Li ; Zhenxing Liu ; Fengxing Zhou ; Cheng Gong
Author_Institution :
Eng. Res. Center of Metall. Autom. & Meas. Technol. of Minist. of Educ., Wuhan Univ. of Sci. & Technol., Wuhan, China
Abstract :
When bearing faults occur in induction motor fed with variable frequency power, some fault related characteristic components appear in the stator current. But these components are often submerged by the strong fundamental component of the power supply during the dynamic speed regulation process. In this paper, an approach based on generalized demodulation of rolling bearing fault diagnosis is proposed, and is used in the outer bearing fault. For the constant accelerating operation model of induction motor, after measuring the single-phase current signal, the empirical mode decomposition (EMD) method is used to identify the operation mode and the generalized demodulation is employed in time-frequency transform. Simulation results show that the proposed method can successfully extract the fault frequency and highlight the fault characteristic component from fundamental components.
Keywords :
fault diagnosis; induction motors; invertors; rolling bearings; time-frequency analysis; EMD method; constant accelerating operation model; empirical mode decomposition; fault characteristic component; generalized demodulation; inverter fed induction motors; rolling bearing fault diagnosis; single-phase current signal; time-frequency transform; variable frequency power; Demodulation; Fault diagnosis; Fourier transforms; Frequency modulation; Induction motors; Stators; Time-frequency analysis; Generalized demodulation; fault diagnosis; roller bearing; stator current; time-frequency analysis;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7053085