Fu, W.; Tan, J.; Li, C.; Zou, Z.; Li, Q.; Chen, T.
A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm. Entropy 2018, 20, 626.
https://doi.org/10.3390/e20090626
AMA Style
Fu W, Tan J, Li C, Zou Z, Li Q, Chen T.
A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm. Entropy. 2018; 20(9):626.
https://doi.org/10.3390/e20090626
Chicago/Turabian Style
Fu, Wenlong, Jiawen Tan, Chaoshun Li, Zubing Zou, Qiankun Li, and Tie Chen.
2018. "A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm" Entropy 20, no. 9: 626.
https://doi.org/10.3390/e20090626
APA Style
Fu, W., Tan, J., Li, C., Zou, Z., Li, Q., & Chen, T.
(2018). A Hybrid Fault Diagnosis Approach for Rotating Machinery with the Fusion of Entropy-Based Feature Extraction and SVM Optimized by a Chaos Quantum Sine Cosine Algorithm. Entropy, 20(9), 626.
https://doi.org/10.3390/e20090626