Full Vector Envelope Technique Based on Complex Local Mean Decomposition and Its Application in Fault Feature Extraction for Rotor System

doi:10.3901/JME.2016.07.069

Abstract

Abstract: A bivariate full vector envelope technique is proposed based on complex local mean decomposition (CLMD), which combines full vector spectrum (FVS) and CLMD, to extract comprehensive rotor fault feature. Orthogonal sampling technique is used to obtain the same section of the rotor vibration signal in the direction perpendicular to each other and composited them to a complex signal. Complex signal is divided into series of complex product functions (CPF) followed in descending order by energy and the complex envelope signal of CPF is demodulated. Since the fault characteristics are mainly concentrated in the higher-energy component of the CPF, complex envelope signal of the first few CPF component by FVS is fused to get corresponding full vector envelope spectrum. Simulation AM - FM signal analysis results show that, compared with Hilbert demodulation, CLMD full vector envelope technology extracts information of implied FM, but there is no false low-frequency spectrum. Analysis of the signal of base loose and rubbing rotor from rotor test rig show that, compared with single-source information envelope spectrum, spectral features extracting by CLMD full vector envelope technology are not only more clear and comprehensive, also distinguish rub caused by base loose with the single rub using CLMD full vector envelope technology.

Key words: complex envelope signal, complex local mean decomposition, complex product functions, full vector envelope spectrum, full vector spectrum

CLC Number:

TP206

HUANG Chuanjin, MENG Yajun, LEI Wenping, HAN Jie. Full Vector Envelope Technique Based on Complex Local Mean Decomposition and Its Application in Fault Feature Extraction for Rotor System[J]. Journal of Mechanical Engineering, 2016, 52(7): 69-78.

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