G. Arroyofigueroa et al., SADEP - A FUZZY DIAGNOSTIC SYSTEM SHELL - AN APPLICATION TO FOSSIL POWER-PLANT OPERATION, Expert systems with applications, 14(1-2), 1998, pp. 43-52
Citations number
24
Categorie Soggetti
Computer Science Artificial Intelligence","Operatione Research & Management Science","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Operatione Research & Management Science
Artificial Intelligence applications in large-scale industry, such as
fossil fuel power plants, require the ability to manage uncertainty an
d time. In these domains, the knowledge about the process comes from e
xperts' experience and it is generally expressed in a vague-fuzzy way
using ill-defined linguistic terms. In this paper, we present a fuzzy
expert system shell to assist an operator of fossil power plants. The
fuzzy expert system shell, called SADEP, is based on a new methodology
for dealing with uncertainty and time called Fuzzy Temporal Network F
N). The FTN generates a formal and systematic structure used to model
the temporal evolution of a process under uncertainty. The inference m
echanism for a FTN consists in the calculation of the possibility degr
ee of the real time occurrence of the events using the fuzzy compositi
onal rule Sup_min. A FTN can be used to recognize the significance of
events and state variables with respect to current plant conditions an
d predict the future propagation of disturbances. SADEP was validated
with the diagnosis of two detailed disturbances of a fossil power plan
t: a power load increment in the drum level and a water condenser pump
failure. The evaluations performed in this work indicate that SADEP c
an potentially improve plant availability through early diagnosis of d
isturbances that could lead to plant shutdown. (C) 1998 Elsevier Scien
ce Ltd. All rights reserved.