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Fault Detection and Diagnostics for Rooftop Air Conditioners

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21<br />

⎛ ⎡n⎤⎞<br />

⎜ ⎢ ⎥⎟<br />

⎜ T<br />

⎢<br />

n ⎟<br />

X<br />

⎥<br />

sign<br />

= sign⎜<br />

J<br />

sign<br />

Ysign<br />

−<br />

⎢ ⎥⎟<br />

(1-5)<br />

⎜<br />

M<br />

⎟<br />

⎢ ⎥<br />

⎝ ⎣n⎦⎠<br />

By determining which entry of vector X<br />

sign<br />

is 1, the fault diagnosis classifier can<br />

make a decision. The advantages of this method are that:<br />

1. It is very easy to infer the J sign<br />

accurately by n simple tests or from experience,<br />

compared to<br />

2<br />

n well- designed tests to estimate J roughly.<br />

2. Although this method is derived from a linearization operation <strong>and</strong> drivingcondition-independence<br />

assumption, it applies without these two assumptions.<br />

Actually there is no linearization approximation necessary <strong>for</strong> the sign of J<br />

sign<br />

.<br />

3. J<br />

sign<br />

is generic at least <strong>for</strong> the same type of system, compared to different J ’s <strong>for</strong><br />

different systems.<br />

4. This diagnosis method cleverly uses direction change pattern (sign) to convert an<br />

infinite classification problem (infinite number of fault levels <strong>for</strong> an individual type<br />

of fault) into a multiple classification one.<br />

The drawback is that it can only h<strong>and</strong>le individual faults.<br />

It also should be pointed out that the above deduction only involves a matrix<br />

transposition operation instead of a matrix inverse operation, so the conclusion can be<br />

obtained without the assumption of<br />

m = n . This is because the SRB fault diagnosis<br />

method uses “sign” to do fault diagnosis qualitatively instead of quantitatively. The<br />

“possible inconsistencies” in the case of<br />

m > n are impossible. Mathematically the<br />

maximum number of faults can be diagnosed by m state variables is up to<br />

m<br />

n = 2 , which<br />

can be either larger or smaller than m . Practically, in order to simplify the process of<br />

extracting rules, more state variables ( m > n) are often adopted. For example, Rossi <strong>and</strong><br />

Braun (1997) use seven state variables to deal with five faults.<br />

21

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