Published 1996 | Version v1
Book Metadata-only

Process Monitoring by combining several signal-analysis results using fuzzy logic

Creators

Description

In order to improve reliability in detecting anomalies in nuclear power plant performance, a method is presented which is based on acquiring various characteristics of signal data using autoregressive, wavelet and fractal-analysis techniques. These characteristics are combined using a decision making approach based on fuzzy logic. This approach is able to detect and distinguish several system states

Part of:
Intelligent systems and soft computing for nuclear science and industry

Additional details

Publishing Information

Publisher
World Scientific Publishing Co. Pte. Ltd.
Imprint Place
Singapore (Singapore)
Imprint Title
Fuzzy Logic and Intelligent Technologies in Nuclear Science
Imprint Pagination
408 p.
Journal Page Range
p. 316-322

Conference

Title
2. International FLINS Workshop
Dates
25-27 Sep 1996
Place
Mol (Belgium)

INIS

Country of Publication
Singapore
Country of Input or Organization
Belgium
INIS RN
31000228
Subject category
S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ARTIFICIAL INTELLIGENCE; DECISION MAKING; EXPERT SYSTEMS; FUZZY LOGIC; KNOWLEDGE BASE; NEURAL NETWORKS; NUCLEAR POWER PLANTS; PERFORMANCE TESTING; PROBABILISTIC ESTIMATION; PROBABILITY; RELIABILITY; RISK ASSESSMENT; SAFETY ANALYSIS
Descriptors DEC
MATHEMATICAL LOGIC; NUCLEAR FACILITIES; POWER PLANTS; TESTING; THERMAL POWER PLANTS

Optional Information