This Paper describes the development of an expert system demonstrator
for fault diagnosis in alternator seal oil, hydrogen cooling and stato
r-winding water auxiliary systems. It is clear from wide experience th
at improved plant diagnostic capability can be achieved by the applica
tion and use of better condition monitoring tools, which offers the po
tential benefits of enhanced alternator reliability and lifetime manag
ement. Another important potential benefit is the ability of the opera
tor to make the correct diagnosis during operational incidents when un
der extreme pressure. Existing monitoring systems are not generally ex
tensive enough and do not contain the necessary intelligence to offer
these benefits. In particular they do not have the ability to interpre
t plant sensor information, perform the necessary online analysis or t
rending and provide the operator with the necessary clear and easily u
nderstand guidance. Advice on alternator problems has traditionally be
en obtained from plant specialists, but their expertise is now becomin
g very, scarce. Expert system technology is seen as one vehicle whereb
y such experience can be captured and structured into a knowledge base
suitable for plant operators. This Paper describes the development of
an expert system designed to meet the above functional requirements a
nd concerns. The Paper contains an outline of the principal duties of
the alternator support systems, discusses the approach to knowledge ac
quisition, modelling and analysis, and describes the expert system des
ign. Examples of expert system diagnosis of typical alternator system
problems are presented.