A two-stage fault diagnosis methodology for rotating machinery combining optimized support vector data description and optimized support vector machine
- Resource Type
- ACADEMIC JOURNAL
- Zhang, Jianqun; Zhang, Qing ⁎; Qin, Xianrong; Sun, Yuantao
- In Measurement 15 August 2022 200
Highlights •A two-stage intelligent fault diagnosis methodology combing GOA-SVDD and GOA-SVM is proposed for rotating machinery.•MSMR is proposed for feature selection when only normal samples are used for training.•The feature extraction capabilities and robustness of eight entropy-based indicators are compared by three case studies.