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Probabilistic Performance Analysis of Fault Diagnosis Schemes

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v<br />

w<br />

u<br />

G θ<br />

y<br />

F<br />

r<br />

δ<br />

V<br />

d<br />

Figure 2.3. General parametric fault diagnosis problem. Here, faults affect the system G via the<br />

parameter θ, rather than an exogenous fault signal f , as in Figure 2.2.<br />

2.5 Designing for Reliability<br />

2.5.1 Physical Redundancy<br />

In physically redundant configurations, multiple components performing the same function<br />

are used in parallel. A physically redundant system <strong>of</strong> four sensors is shown in Figure 2.4.<br />

Note that each identical sensor S is affected by different noises v i , disturbances d i , and<br />

faults f i , making each <strong>of</strong> the outputs y i different. The outputs are aggregated into a single<br />

measurement ȳ using some sort <strong>of</strong> averaging or voting scheme. To detect a component<br />

failure, each output y i is subtracted from the aggregate output ȳ to form a residual r i .<br />

Advantages <strong>of</strong> physical redundancy<br />

Generally speaking, physically redundant systems can survive multiple component failures<br />

and still perform their prescribed function. For example, a quadruplex system <strong>of</strong> four<br />

components, such as the sensor system in Figure 2.4, can survive two component failures.<br />

After one failure, the failed component is taken <strong>of</strong>f-line and the remaining three components<br />

function in a triplex configuration. Note that the voting scheme must adapt to this new<br />

configuration. If a second failure occurs, the failed component is taken <strong>of</strong>f-line, and the<br />

system functions in a duplex configuration. In the event <strong>of</strong> a third failure, the system is<br />

unable to determine which component is healthy and which is failed, rendering the whole<br />

system in a failed state.<br />

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