A Novel Feature Extraction Method for Bearing Fault Classification with One Dimensional Ternary Patterns

Yerel katalogda bu makaleye atıf yapan 29 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

1. 2020 Brain tumor classification using modified local binary patterns (LBP) feature extraction methodsAtıf 301 · OpenAlex
2. 2020 Brain tumor classification using modified local binary patterns (LBP) feature extraction methodsAtıf 301 · OpenAlex
3. 2020 An improved feature extraction method using texture analysis with LBP for bearing fault diagnosisAtıf 171 · OpenAlex
4. 2020 An İmproved Feature Extraction Method Using Texture Analysis with LBP for Bearing Fault DiagnosisAtıf 171 · OpenAlex
5. 2020 An improved feature extraction method using texture analysis with LBP for bearing fault diagnosisAtıf 171 · OpenAlex
6. 2020 An Intelligent Approach for Bearing FaultDiagnosis: Combination of 1D-LBP and GRAAtıf 108 · OpenAlex
7. 2021 A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classificationAtıf 97 · OpenAlex
8. 2021 A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classificationAtıf 97 · OpenAlex
9. 2021 A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classificationAtıf 97 · OpenAlex
10. 2022 A new automatic bearing fault size diagnosis using time-frequency images of CWT and deep transfer learning methodsAtıf 79 · OpenAlex