Digital methods for the detection of incipient fault conditions in spaceborne power systems
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abstract
The application of classical detection theory to the detection of high-impedance faults is described. The systems are suitable for implementation using programmable digital signal processors. The fault-detection problem is formulated as a statistical hypothesis testing in the presence of deterministic signals with random parameters and additive noise. The resulting optimal fault detector is a power detector and can be realized using a digital notch filter and a sliding sum of the squared output of the notched filter. A count of the number of energy bursts at the harmonic frequencies during a time interval is used to distinguish between faults and routine events. The proposed method can be used to detect faults and incipient failure conditions that cannot be detected by conventional protection methods used for spaceborne systems. Numerical examples illustrating detector performance are presented.
