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Feedforward Chaotic Neural Network Model for Rotor Rub-Impact Fault Recognition Using Acoustic Emission Method
Joint Authors
Peng, Wei
Liu, Weidong
Cheng, Xinmin
Shi, Liping
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-20
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
The rubbing faults caused by dynamic and static components in large rotatory machine are dangerous in manufacture process.
This paper applies a feedforward chaotic neural network (FCNN) to recognize acoustic emission (AE) source in rotor rubbing and diagnose the rotor operational condition.
This method adds the dynamic chaotic neurons based on logistic mapping into the multilayer perceptron (MLP) model to avoid the network falling into a local minimum, the delayed and feedback structure for maximum efficiency of recognition performance.
The AE data was rotor rubbing process sampled from the test rig of rotatory machine, classification by fault degree.
The experimental results indicate that the recognition rate is superior to the traditional BP network models.
It is an effective method to recognize the rubbing faults for the machine normal operation.
American Psychological Association (APA)
Peng, Wei& Liu, Weidong& Cheng, Xinmin& Shi, Liping. 2018. Feedforward Chaotic Neural Network Model for Rotor Rub-Impact Fault Recognition Using Acoustic Emission Method. Journal of Electrical and Computer Engineering،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1184581
Modern Language Association (MLA)
Peng, Wei…[et al.]. Feedforward Chaotic Neural Network Model for Rotor Rub-Impact Fault Recognition Using Acoustic Emission Method. Journal of Electrical and Computer Engineering No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1184581
American Medical Association (AMA)
Peng, Wei& Liu, Weidong& Cheng, Xinmin& Shi, Liping. Feedforward Chaotic Neural Network Model for Rotor Rub-Impact Fault Recognition Using Acoustic Emission Method. Journal of Electrical and Computer Engineering. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1184581
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184581