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About Anomaly Detection in Thermal Power Plant Using Probabilistic Neural Network
This document discusses using a probabilistic neural network to detect anomalies in a thermal power plant, specifically in the steam superheaters and steam drum sections. It provides background on thermal power plants and describes the water-steam and feedwater systems. The paper then analyzes existing anomaly detection techniques before presenting the probabilistic neural network as a solution to detect anomalies in the selected boiler system sections. Input data comes from the monitoring and control system of a power plant in Bosnia and Herzegovina.
Detailed Information
| Author: | ['lahohi'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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