ADQ—Anomaly Detection and Quantification From Delayed Neutron Monitoring Data of Nuclear Power Plants
Author:
Affiliation:
1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India
2. Nuclear Power Corporation of India Ltd., Mumbai, India
Funder
Nuclear Power Corporation of India Ltd (NPCIL), Mumbai, India
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10089784/10045683.pdf?arnumber=10045683
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1. Anomaly detection and fault analysis of wind turbine components based on deep learning network
2. Comparative studies among machine learning models for performance estimation and health monitoring of thermal power plants
3. Anomaly detection in nuclear power plant data using support vector data description
4. Recent Progress of Anomaly Detection
5. Reducing distance computations for distance-based outliers
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