On-line alert systems for production plants: A conflict based approach

We present a new methodology for detecting faults and abnormal behavior in production plants. The methodology stems from a joint project with a Danish energy consortium. During the course of the project we encountered several problems that we believe are common for projects of this type. Most notabl...

Full description

Saved in:
Bibliographic Details
Published in:International journal of approximate reasoning 2007-07, Vol.45 (2), p.255-270
Main Authors: Nielsen, Thomas D., Jensen, Finn V.
Format: Article
Language:English
Subjects:
20 FOSSIL-FUELED POWER PLANTS
ALARM SYSTEMS
Alert systems
Applied sciences
Artificial intelligence
Bayesian networks
COAL
Computer science
control theory
systems
Conflict measure
Control theory. Systems
DEFECTS
Exact sciences and technology
FOSSIL-FUEL POWER PLANTS
Learning and adaptive systems
Modelling and identification
ON-LINE SYSTEMS
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a new methodology for detecting faults and abnormal behavior in production plants. The methodology stems from a joint project with a Danish energy consortium. During the course of the project we encountered several problems that we believe are common for projects of this type. Most notably, there was a lack of both knowledge and data concerning possible faults, and it therefore turned out to be infeasible to learn/construct a standard classification model for doing fault detection. As an alternative we propose a method for doing on-line fault detection using only a model of normal system operation. Faults are detected by measuring the conflict between the model and the sensor readings, and knowledge about the possible faults is therefore not required. We illustrate the proposed method using real-world data from a coal driven power plant as well as simulated data from an oil production facility.
ISSN:0888-613X
1873-4731
DOI:10.1016/j.ijar.2006.06.010