Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis

In order to process the vagueness in vibration fault diagnosis of rolling bearing, a new correlation coefficient of simplified neutrosophic sets (SNSs) is proposed. Vibration signals of rolling bearings are acquired by an acceleration sensor, and a morphological filter is used to reduce the noise ef...

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Main Author: Lilian Shi
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2016/5414361
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author Lilian Shi
author_facet Lilian Shi
author_sort Lilian Shi
collection DOAJ
description In order to process the vagueness in vibration fault diagnosis of rolling bearing, a new correlation coefficient of simplified neutrosophic sets (SNSs) is proposed. Vibration signals of rolling bearings are acquired by an acceleration sensor, and a morphological filter is used to reduce the noise effect. Wavelet packet is applied to decompose the vibration signals into eight subfrequency bands, and the eigenvectors associated with energy eigenvalue of each frequency are extracted for fault features. The SNSs of each fault types are established according to energy eigenvectors. Finally, a correlation coefficient of two SNSs is proposed to diagnose the bearing fault types. The experimental results show that the proposed method can effectively diagnose the bearing faults.
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institution Kabale University
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language English
publishDate 2016-01-01
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series Shock and Vibration
spelling doaj-art-692e78c954054eb6a7a927adc97c901f2025-02-03T06:11:27ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/54143615414361Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault DiagnosisLilian Shi0Department of Electrical and Information Engineering, Shaoxing University, 508 Huancheng West Road, Shaoxing, Zhejiang Province 312000, ChinaIn order to process the vagueness in vibration fault diagnosis of rolling bearing, a new correlation coefficient of simplified neutrosophic sets (SNSs) is proposed. Vibration signals of rolling bearings are acquired by an acceleration sensor, and a morphological filter is used to reduce the noise effect. Wavelet packet is applied to decompose the vibration signals into eight subfrequency bands, and the eigenvectors associated with energy eigenvalue of each frequency are extracted for fault features. The SNSs of each fault types are established according to energy eigenvectors. Finally, a correlation coefficient of two SNSs is proposed to diagnose the bearing fault types. The experimental results show that the proposed method can effectively diagnose the bearing faults.http://dx.doi.org/10.1155/2016/5414361
spellingShingle Lilian Shi
Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis
Shock and Vibration
title Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis
title_full Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis
title_fullStr Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis
title_full_unstemmed Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis
title_short Correlation Coefficient of Simplified Neutrosophic Sets for Bearing Fault Diagnosis
title_sort correlation coefficient of simplified neutrosophic sets for bearing fault diagnosis
url http://dx.doi.org/10.1155/2016/5414361
work_keys_str_mv AT lilianshi correlationcoefficientofsimplifiedneutrosophicsetsforbearingfaultdiagnosis