Blind source separation algorithm of signals about cyclostationary and its application

Su, Zhongyuan

doi:10.3901/jme.2007.10.144

Cited by 2 publications

(1 citation statement)

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“…Vibration analysis has successfully been applied towards monitoring and diagnosis in many practical areas for three decades. In the application of machine fault diagnosis, vibration signal analysis is used to detect the dynamic characteristics of machines and to extract fault characteristics if a fault occurs and then identify its cause [1,2]. Fault signals of gearboxes or rolling-element bearings are non-stationary.…”

Section: Introductionmentioning

confidence: 99%

Gear fault identification and classification of singular value decomposition based on Hilbert-Huang transform

Zhang

Jia

et al. 2011

J Mech Sci Technol

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An improved singular value decomposition method of gear fault identification based on Hilbert-Huang transform was proposed to overcome the problem of reconstructing a feature matrix of singular value decomposition. The method includes three steps. First, the instantaneous frequency and amplitude matrices were acquired by Hilbert-Huang transform from faulted gear signals. Second, after the matrices were decomposed by singular value decomposition, the defined distances of singular value vectors and the optimal threshold of the distance for classification were calculated. Third, the fault characteristics of a gearbox were identified and classified by the threshold of the distances. The result demonstrates that the proposed method effectively identifies the gear fault and can realize an automatic gear fault diagnosis.

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Section: Introductionmentioning

confidence: 99%

Gear fault identification and classification of singular value decomposition based on Hilbert-Huang transform

Zhang

Jia

et al. 2011

J Mech Sci Technol

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Product multi-level parametric design technology based on skeleton model

Jia

Wang

Chengtong

2010

2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering

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To resolve the problem of lacking tools to sustain the Top-Down decomposition of parameters and multi-level parametric drive modeling based on skeleton, the technology of product multi-level parametric design is put forward. This technology takes product control parameters and constraint relationships as the core. The technology of product decomposition modeling is studied to obtain the control parameters and constraint relationships. The product multi level parametric skeleton modeling technology is studied to obtain skeleton constraint model based on the technology of product decomposition modeling. A new product instance can be obtained rapidly by changing control parameters of the skeleton constraint model.

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Blind source separation algorithm of signals about cyclostationary and its application

Cited by 2 publications

References 0 publications

Gear fault identification and classification of singular value decomposition based on Hilbert-Huang transform

Gear fault identification and classification of singular value decomposition based on Hilbert-Huang transform

Product multi-level parametric design technology based on skeleton model

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