Neural Networks and Fault Probability Evaluation for Diagnosis Issues

<table>Early diagnosis for fault <svg height="17.4" id="M334" style="vertical-align:-3.25793pt" version="1.1" viewbox="0 0 23.0875 17.4" width="23.0875" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>, <svg height="11.175" id="M337" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 11.6625 11.175" width="11.6625" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>): (a) location of the models <svg height="15.0875" id="M339" style="vertical-align:-2.21957pt" version="1.1" viewbox="0 0 65.925003 15.0875" width="65.925003" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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</svg>; (b) details.</table>

Computational Intelligence and Neuroscience

fig11

Figure 11

Figure 11: Neural Networks and Fault Probability Evaluation for Diagnosis Issues 