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2013•Applied Mechanics and MaterialsOpen access

An Approach to Monitoring of Gearbox Based on HHT Spectrum

Zhi Xin Chen, Hai Tao Sun, Shi Kun Xie

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Abstract

Hilbert-Huang Transform (HHT) Spectrum is analyzed, and is compared with Wigner-Ville distribution(WVD). And it is proposed a method that is “band pass filtering --signal purification and reconstruction --HHT spectrum analyses” method to carry on the state recognition and fault diagnosis of the mechanical equipment. The compared signals include: the signals of harmonic, amplitude modulation and frequency modulation, and the mixed signals that are composed of these single signal, then it is pointed out: HHT Spectrum have higher frequency resolution than WVD, and it has overcome the latter influence of cross-term interference. At last, real signals of fault gear are analyzed by this method, and it is indicated that the method can offer a new and effective method for fault diagnosis and condition monitoring.

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What this paper is about

Hilbert-Huang Transform (HHT) Spectrum is analyzed, and is compared with Wigner-Ville distribution(WVD). And it is proposed a method that is “band pass filtering --signal purification and reconstruction --HHT spectrum analyses” method to carry on the state recognition and fault diagnosis of the mechanical equipment. The compared signals include: the signals of harmonic, amplitude modulation and frequency modulation, and the mixed signals that are composed of these single signal, then it is pointed out: HHT Spectrum have higher frequency resolution than WVD, and it has overcome the latter influence of cross-term interference. At last, real signals of fault gear are analyzed by this method, and it is indicated that the method can offer a new and effective method for fault diagnosis and condition monitoring.

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Available abstract

Hilbert-Huang Transform (HHT) Spectrum is analyzed, and is compared with Wigner-Ville distribution(WVD). And it is proposed a method that is “band pass filtering --signal purification and reconstruction --HHT spectrum analyses” method to carry on the state recognition and fault diagnosis of the mechanical equipment. The compared signals include: the signals of harmonic, amplitude modulation and frequency modulation, and the mixed signals that are composed of these single signal, then it is pointed out: HHT Spectrum have higher frequency resolution than WVD, and it has overcome the latter influence of cross-term interference. At last, real signals of fault gear are analyzed by this method, and it is indicated that the method can offer a new and effective method for fault diagnosis and condition monitoring.

Key concepts: Hilbert–Huang transform, SIGNAL (programming language), Interference (communication), Fault (geology), Harmonic, Instantaneous phase, Frequency spectrum, Electronic engineering

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