Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Reference24 articles.
1. Sakthivel, N. R., Nair, B. B., Elangovan, M., Sugumaran, V., & Saravanmurugan, S. (2014). Comparison of dimensionality reduction techniques for the fault diagnosis of mono block centrifugal pump using vibration signals. Engineering Science and Technology, an International Journal, 17(1), 30–38.
2. Saimurugan, M., & Nithesh, R. (2016). Intelligent fault diagnosis model for rotating machinery based on fusion of sound signals. International Journal of Prognostics and Health Management, 7(2).
3. Tang, S., Zhu, Y., & Yuan, S. (2022). An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal. Engineering Failure Analysis, 138, 106300.
4. Nassar, B., Hussein, W., & Mokhtar, M. (2015). Space telemetry anomaly detection based on statistical PCA algorithm. International Journal of Electronics and Communication Engineering, 9(6), 637–645.
5. Pan, D., Liu, D., Zhou, J., & Zhang, G. (2015). Anomaly detection for satellite power subsystem with associated rules based on kernel principal component analysis. Microelectronics Reliability, 55(9–10), 2082–2086.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献