Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN
Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. Firstly,those early fault features of roller bearing a...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Journal of Mechanical Transmission
2016-01-01
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| Series: | Jixie chuandong |
| Subjects: | |
| Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.08.031 |
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| _version_ | 1841547992284266496 |
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| author | Chen Fafa Li Mian Chen Baojia Chen Congping |
| author_facet | Chen Fafa Li Mian Chen Baojia Chen Congping |
| author_sort | Chen Fafa |
| collection | DOAJ |
| description | Aiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. Firstly,those early fault features of roller bearing are calculated based on the signal processing method in time domain,frequency domain and time- frequency domain to construct hybrid feature set. Then,those hybrid feature set are inputted into weighted K- nearest- neighbor for roller bearing early fault identification. The experimental results show that this proposed rolling bearing fault diagnosis method can effectively extract more sensitive early fault features,and the structure is stable,the diagnosis precision is high. It can be applied in the roller bearing real- time on- line monitoring. |
| format | Article |
| id | doaj-art-9aceae09eeb14e3bbddaf5dc946a7b55 |
| institution | Kabale University |
| issn | 1004-2539 |
| language | zho |
| publishDate | 2016-01-01 |
| publisher | Editorial Office of Journal of Mechanical Transmission |
| record_format | Article |
| series | Jixie chuandong |
| spelling | doaj-art-9aceae09eeb14e3bbddaf5dc946a7b552025-01-10T14:16:10ZzhoEditorial Office of Journal of Mechanical TransmissionJixie chuandong1004-25392016-01-014013814329925485Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNNChen FafaLi MianChen BaojiaChen CongpingAiming at the problem that the roller bearings early fault features are faint that difficult to be effectively identified,a fault diagnosis method of roller bearing based on hybrid feature set and weighted K- nearest- neighbor（ KNN） is proposed. Firstly,those early fault features of roller bearing are calculated based on the signal processing method in time domain,frequency domain and time- frequency domain to construct hybrid feature set. Then,those hybrid feature set are inputted into weighted K- nearest- neighbor for roller bearing early fault identification. The experimental results show that this proposed rolling bearing fault diagnosis method can effectively extract more sensitive early fault features,and the structure is stable,the diagnosis precision is high. It can be applied in the roller bearing real- time on- line monitoring.http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.08.031Hybrid feature setWeighted K-nearest-neighborRoller bearingFault diagnosis |
| spellingShingle | Chen Fafa Li Mian Chen Baojia Chen Congping Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN Jixie chuandong Hybrid feature set Weighted K-nearest-neighbor Roller bearing Fault diagnosis |
| title | Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN |
| title_full | Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN |
| title_fullStr | Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN |
| title_full_unstemmed | Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN |
| title_short | Fault Diagnosis of Roller Bearing based on Hybrid Feature Set and Weighted KNN |
| title_sort | fault diagnosis of roller bearing based on hybrid feature set and weighted knn |
| topic | Hybrid feature set Weighted K-nearest-neighbor Roller bearing Fault diagnosis |
| url | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.08.031 |
| work_keys_str_mv | AT chenfafa faultdiagnosisofrollerbearingbasedonhybridfeaturesetandweightedknn AT limian faultdiagnosisofrollerbearingbasedonhybridfeaturesetandweightedknn AT chenbaojia faultdiagnosisofrollerbearingbasedonhybridfeaturesetandweightedknn AT chencongping faultdiagnosisofrollerbearingbasedonhybridfeaturesetandweightedknn |