Machine Health Monitoring and Fault Diagnosis Techniques (Volume II)
Funding
Conflicts of Interest
List of Contributions
- Li, C.; Chen, J.; Yang, C.; Yang, J.; Liu, Z.; Davari, P. Convolutional Neural Network-Based Transformer Fault Diagnosis Using Vibration Signals. Sensors 2023, 23, 4781.
- Song, X.; Wei, W.; Zhou, J.; Ji, G.; Hussain, G.; Xiao, M.; Geng, G. Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis. Sensors 2023, 23, 5137.
- Li, S.; Liu, Z.; Yan, Y.; Wang, R.; Dong, E.; Cheng, Z. Research on Diesel Engine Fault Status Identification Method Based on Synchro Squeezing S-Transform and Vision Transformer. Sensors 2023, 23, 6447.
- Yang, X.; Yang, J.; Jin, Y.; Liu, Z. A New Method for Bearing Fault Diagnosis across Machines Based on Envelope Spectrum and Conditional Metric Learning. Sensors 2024, 24, 2674.
- Zhao, X.; Zhao, Y.; Hu, S.; Wang, H.; Zhang, Y.; Ming, W. Progress in Active Infrared Imaging for Defect Detection in the Renewable and Electronic Industries. Sensors 2023, 23, 8780.
- Fidali, M.; Augustyn, D.; Ochmann, J.; Uchman, W. Evaluation of the Diagnostic Sensitivity of Digital Vibration Sensors Based on Capacitive MEMS Accelerometers. Sensors 2024, 24, 4463.
- Sánchez, R.-V.; Macancela, J.C.; Ortega, L.-R.; Cabrera, D.; García Márquez, F.P.; Cerrada, M. Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey. Sensors 2024, 24, 5400.
- Ruiz-Sarrio, J.E.; Antonino-Daviu, J.A.; Martis, C. Localized Bearing Fault Analysis for Different Induction Machine Start-Up Modes via Vibration Time–Frequency Envelope Spectrum. Sensors 2024, 24, 6935.
- Zhai, L.; Wang, X.; Si, Z.; Wang, Z. A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum. Sensors 2024, 24, 3500.
- Lu, X.; Zhu, M.; Li, C.; Li, S.; Wang, S.; Li, Z. Prediction of Pre-Loading Relaxation of Bolt Structure of Complex Equipment under Tangential Cyclic Load. Sensors 2024, 24, 3306.
- Lee, J.-G.; Kim, Y.-S.; Lee, J.H. Preventing Forklift Front-End Failures: Predicting the Weight Centers of Heavy Objects, Remaining Useful Life Prediction under Abnormal Conditions, and Failure Diagnosis Based on Alarm Rules. Sensors 2023, 23, 7706.
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Sun, S.; Shen, C.; Wang, D. Machine Health Monitoring and Fault Diagnosis Techniques (Volume II). Sensors 2024, 24, 7177. https://doi.org/10.3390/s24227177
Sun S, Shen C, Wang D. Machine Health Monitoring and Fault Diagnosis Techniques (Volume II). Sensors. 2024; 24(22):7177. https://doi.org/10.3390/s24227177
Chicago/Turabian StyleSun, Shilong, Changqing Shen, and Dong Wang. 2024. "Machine Health Monitoring and Fault Diagnosis Techniques (Volume II)" Sensors 24, no. 22: 7177. https://doi.org/10.3390/s24227177
APA StyleSun, S., Shen, C., & Wang, D. (2024). Machine Health Monitoring and Fault Diagnosis Techniques (Volume II). Sensors, 24(22), 7177. https://doi.org/10.3390/s24227177