Transcript Research on a Fuzzy Multi-Objective Decision Model

Research on a Fuzzy Multi-Objective
Decision Model
International Conference on Machine Learning
and Cybernetics, Vol. 1, p.p.10-14 July, 2011.
Outline
 Abstract:
 Introduction
 The composition and implementation of temperature
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change monitoring system
Fault diagnosis algorithm based on information fusion
technology
The application of basic D-S evidence theory fusion
algorithm in high-voltage electrical equipment fault
diagnosis
Conclusion
References
Abstract
 Fault diagnosis is an important method to ensure the
normal operation of electrical equipment. In order to
reflect the operational status of electrical equipment
from many ways and realize the automatic recognition
and accurate diagnosis of electrical equipment failure
modes, it is proposed a fault diagnosis method based
on information fusion technology. In this paper, on the
basis of multi-source information fusion technology, a
new multi-source information fault diagnosis method
combining D-S evidence theory and fuzzy athematics
is put forward.
Introduction
 The development of science and technology promotes the
modernizing trends of power system and equipment such as
much higher voltage, larger capacity, systematic and
automated. Due to equipment failure caused interruption of
power supply will make the production halt, life fall into
disarray, or even endanger the safety of persons and
equipment. Therefore, safe and reliable operation of
equipment is very important. The running requirements of
power system promote the development of monitoring and
fault diagnosis technology of the power equipment. At
present, the information fusion technology has been
gradually applied to equipment fault diagnosis field [1-3].
The composition and implementation of
temperature change monitoring system
 In the past, fault monitoring system uses single chip
microcomputer as core. In these systems, after the
signal acquisition and processing of the selected
object, whether the system is operating smoothly can
be determined by comparing these signals with the
desired value directly
The composition and implementation of
temperature change monitoring system
The composition and implementation of
temperature change monitoring system
Fault diagnosis algorithm based on
information fusion technology
 Considering the characteristics of a variety of information
fusion algorithm, DS evidence reasoning decision theory
combining with fuzzy set theory is chosen as multi-sensor
data fusion algorithm of high voltage electrical equipment
fault location.
The application of basic D-S evidence theory fusion
algorithm in high-voltage electrical equipment fault
diagnosis
Conclusion
 Power equipment fault diagnosis is a technology that
can learn and master the equipment operating status,
distinct and identify equipment abnormalities, early
detect potential fault of equipment. Through the
rational construction of basic probability assignment
function, it can reduce the uncertainty of the diagnosis
greatly. By the introduction of membership function
used in Fuzzy set, the calculation of basic probability
assignment function is simplified, and the difficulty of
the function structure is reduced.
References