Anomaly detection in an automated safeguards system using neural networks
An automated safeguards system must be able to detect an anomalous event, identify the nature of the event, and recommend a corrective action. Neural networks represent a new way of thinking about basic computational mechanisms for intelligent information processing. In this paper, we discuss the issues involved in applying a neural network model to the first step of this process: anomaly detection in materials accounting systems. We extend our previous model to a 3-tank problem and compare different neural network architectures and algorithms. We evaluate the computational difficulties in training neural networks and explore how certain design principles affect the problems. The issues involved in building a neural network architecture include how the information flows, how the network is trained, how the neurons in a network are connected, how the neurons process information, and how the connections between neurons are modified. Our approach is based on the demonstrated ability of neural networks to model complex, nonlinear, real-time processes. By modeling the normal behavior of the processes, we can predict how a system should be behaving and, therefore, detect when an abnormality occurs.
- Research Organization:
- Los Alamos National Lab., NM (United States)
- Sponsoring Organization:
- DOE; USDOE, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 7239723
- Report Number(s):
- LA-UR-92-2282; CONF-9207102--7; ON: DE92018369
- Country of Publication:
- United States
- Language:
- English
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Data requirements for an anomaly detector in an automated safeguards system using neural networks
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Related Subjects
Inspection
& Accountability-- Technical Aspects
98 NUCLEAR DISARMAMENT, SAFEGUARDS, AND PHYSICAL PROTECTION
ACCOUNTING
ALGORITHMS
COMPUTER ARCHITECTURE
COMPUTERIZED CONTROL SYSTEMS
CONTAINERS
CONTROL SYSTEMS
DATA PROCESSING
FLUID FLOW
MANAGEMENT
MATHEMATICAL LOGIC
MATHEMATICAL MODELS
NEURAL NETWORKS
NUCLEAR FACILITIES
NUCLEAR MATERIALS MANAGEMENT
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
PROCESSING
SAFEGUARDS
TANKS