Author:
Sharanya S.,Prakash M.,Senthilkumar J.
Reference26 articles.
1. Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario
2. S. Sharanya, and R. Venkataraman, “Empirical analysis of machine learning algorithms in fault diagnosis of coolant tower in nuclear power plants.” In International Conference on Computational Vision and Bio Inspired Computing, Springer, 1325–1332 (2018).
3. Fan Li, and May, “Dynamic Modeling, Sensor Placement Design, and Fault Diagnosis of Nuclear Desalination Systems.” Ph.D. Thesis, The University of Tennessee, Knoxville (2001).
4. S. Selcuk, “Predictive maintenance, its implementation and latest trends.” In Proceedings of the Institution of Mechanical Engineers.” Part B: Journal of Engineering Manufacture, 231(9), 1670–1679 (2017).
5. Vibration Spectrum Imaging: A Novel Bearing Fault Classification Approach