ABSTRACT
Rotating machines used in power plants and factories require regular maintenance to avoid a failure leading to a halt of activities at the plant. To perform efficient maintenance, a highly accurate diagnosis system is required. To achieve high accuracy diagnosis, an effective feature selection from vibration data and an effective and accurate fault diagnosis algorithm are required. In this chapter, we introduce the application of neural networks and fuzzy logic to rotating machine fault diagnosis.
