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Fault Detection and Diagnostics for Rooftop Air Conditioners

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interpolation(poly+GRNN)<br />

extrapolation(poly+GRNN)<br />

3<br />

2.5<br />

RMS error (F)<br />

2<br />

1.5<br />

1<br />

0.5<br />

0<br />

1 2 3<br />

Polynomials order (GRNN spread = 0.1)<br />

Figure 3.9 Polynomial plus GRNN modeling per<strong>for</strong>mance (Tevap Model)<br />

Table 3.6 interpolating <strong>and</strong> extrapolating per<strong>for</strong>mance<br />

Per<strong>for</strong>mance<br />

Method<br />

fitting interpolation extrapolation<br />

+++<br />

+++<br />

+++<br />

Polynomials<br />

++++<br />

++++<br />

++<br />

+++++<br />

+++++<br />

+<br />

BP<br />

+++++<br />

+++++<br />

++<br />

BP+Polynomials<br />

+++++<br />

+++++<br />

+++(+)<br />

GRNN<br />

+++++<br />

+++++<br />

++<br />

GRNN+Polynomials<br />

+++++<br />

+++++<br />

+++(+)<br />

BRF<br />

+++++<br />

+++++<br />

++<br />

BRF+Polynomials<br />

+++++<br />

+++++<br />

+++(+)<br />

30

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