Anomaly detection in thermal power plant using probabilistic neural network

• Published in: 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) pp. 1118 - 1123
• Main Authors: Hajdarevic, A., Dzananovic, I., Banjanovic-Mehmedovic, L., Mehmedovic, F.
• Format: Conference Proceeding
• Language: English
• Published: MIPRO 01.05.2015
• Subjects: Biological neural networks; Boilers; Power generation; Probabilistic logic; Probability density function; Training

Anomalies are integral part of every system's behavior and sometimes cannot be avoided. Therefore it is very important to timely detect such anomalies in real-world running power plant system. Artificial neural networks are one of anomaly detection techniques. This paper gives a type of neural...