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Study on Fault Diagnosis of Rolling Bearing Based on Time-Frequency Generalized Dimension
Joint Authors
Yuan, Yu
Zhao, Xing
Fei, Jiyou
Zhao, Yulong
Wang, Jiahui
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The condition monitoring technology and fault diagnosis technology of mechanical equipment played an important role in the modern engineering.
Rolling bearing is the most common component of mechanical equipment which sustains and transfers the load.
Therefore, fault diagnosis of rolling bearings has great significance.
Fractal theory provides an effective method to describe the complexity and irregularity of the vibration signals of rolling bearings.
In this paper a novel multifractal fault diagnosis approach based on time-frequency domain signals was proposed.
The method and numerical algorithm of Multi-fractal analysis in time-frequency domain were provided.
According to grid type J and order parameter q in algorithm, the value range of J and the cut-off condition of q were optimized based on the effect on the dimension calculation.
Simulation experiments demonstrated that the effective signal identification could be complete by multifractal method in time-frequency domain, which is related to the factors such as signal energy and distribution.
And the further fault diagnosis experiments of bearings showed that the multifractal method in time-frequency domain can complete the fault diagnosis, such as the fault judgment and fault types.
And the fault detection can be done in the early stage of fault.
Therefore, the multifractal method in time-frequency domain used in fault diagnosis of bearing is a practicable method.
American Psychological Association (APA)
Yuan, Yu& Zhao, Xing& Fei, Jiyou& Zhao, Yulong& Wang, Jiahui. 2015. Study on Fault Diagnosis of Rolling Bearing Based on Time-Frequency Generalized Dimension. Shock and Vibration،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1078345
Modern Language Association (MLA)
Yuan, Yu…[et al.]. Study on Fault Diagnosis of Rolling Bearing Based on Time-Frequency Generalized Dimension. Shock and Vibration No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1078345
American Medical Association (AMA)
Yuan, Yu& Zhao, Xing& Fei, Jiyou& Zhao, Yulong& Wang, Jiahui. Study on Fault Diagnosis of Rolling Bearing Based on Time-Frequency Generalized Dimension. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1078345
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078345