Special Issue on Machine Condition Monitoring and Fault Diagnosis: From Theory to Application
Source abstract
Abstract
Modern machines are becoming more complex in structure and are operating under harsher loading and operational conditions [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Machine Fault Diagnosis Techniques · Fault Detection and Control Systems · Structural Health Monitoring Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Fluid Power & Mechatronic System, Zhejiang University, Hangzhou 310027, China
References (6)
Show source-provided references
1. Lee, I., Park, H.J., Jang, J.-W., Kim, C.-W., and Choi, J.-H. (2023). System-Level Fault Diagnosis for an Industrial Wafer Transfer Robot with Multi-Component Failure Modes. Appl. Sci., 13.10.3390/app131810243 ↗
2. Jankowska, K., Dybkowski, M., Petro, V., and Kyslan, K. (2023). Classification of Speed Sensor Faults Based on Shallow Neural Networks. Appl. Sci., 13.10.3390/app13127263 ↗
3. Chen, L., Wei, L., Li, W., Wang, J., and Han, D. (2023). Fault Prediction of Mechanical Equipment Based on Hilbert–Full-Vector Spectrum and TCDAN. Appl. Sci., 13.10.3390/app13084655 ↗
4. Gu, Y., Zhang, Y., Yang, M., and Li, C. (2023). Motor On-Line Fault Diagnosis Method Research Based on 1D-CNN and Multi-Sensor Information. Appl. Sci., 13.10.3390/app13074192 ↗
5. Ye, Q., and Liu, C. (2023). Simultaneous Fault Diagnosis Based on Hierarchical Multi-Label Classification and Sparse Bayesian Extreme Learning Machine. Appl. Sci., 13.10.3390/app13042376 ↗
6. Chen, Q., Zheng, S., Wu, X., and Liu, T. (2022). Feature Extraction of Bearing Weak Fault Based on Sparse Coding Theory and Adaptive EWT. Appl. Sci., 12.10.3390/app122110807 ↗