Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM
Joint Authors
Xu, Bo
Li, Huipeng
Zhou, Fengxing
Yan, Baokang
Liu, Yi
Ma, Yajie
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-03
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Under normal circumstances, bearings generally run under variable loading conditions.
Under such conditions, the vibration signals of the bearing malfunctions are often nonstationary signals, which are difficult to process effectively.
In order to accurately and effectively diagnose the failure types and damage degree of bearings under variable load conditions, an intelligent diagnostic model based on the variational mode decomposition (VMD) of quantum chaotic fruit fly optimization algorithm (QCFOA) and a multiclassification variational relevance vector machine (VRVM) is proposed.
First, the key parameters of the VMD are selected using the QCFOA.
Secondly, the known bearing fault signal is decomposed by the optimized VMD, and the center frequency and marginal spectral entropy (MSE) of each natural modal component are extracted to construct two-dimensional MSE.
Then, the probit model is used to replace the logistic model, and a simpler and more practical multiclassification model is constructed.
The two-dimensional MSE of each intrinsic modal component is used as a learning sample for VRVM.
Finally, the bearing fault data under 1 hp load are taken as training samples, and the bearing fault data under two loads of 0 hp and 3 hp are used as test samples to verify the effectiveness of the intelligent diagnosis model.
The experimental results show that the intelligent fault diagnosis method proposed in this paper can accurately diagnose the type of fault and the degree of damage and has high robustness.
American Psychological Association (APA)
Xu, Bo& Li, Huipeng& Zhou, Fengxing& Yan, Baokang& Liu, Yi& Ma, Yajie. 2019. Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM. Shock and Vibration،Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1211583
Modern Language Association (MLA)
Xu, Bo…[et al.]. Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM. Shock and Vibration No. 2019 (2019), pp.1-20.
https://search.emarefa.net/detail/BIM-1211583
American Medical Association (AMA)
Xu, Bo& Li, Huipeng& Zhou, Fengxing& Yan, Baokang& Liu, Yi& Ma, Yajie. Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-20.
https://search.emarefa.net/detail/BIM-1211583
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211583