Capacitor monitoring and fault diagnosis system and method thereof
A fault diagnosis system and fault diagnosis technology, applied in signal transmission systems, instruments, measurement power and other directions, can solve the problems of unreasonable structural design of online monitoring system, failure to take into account the correlation of monitoring quantities, and ignoring the multi-faceted fault causes. Achieve the effect of realizing data off-site and remote access, satisfying the changes of the diagnosis matrix, and suppressing various interferences
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Embodiment 1
[0047] Now there are symptoms of failure x 3 high temperature, x 4 The dielectric loss becomes larger, use "0" to indicate that there is no symptom, "0 1” indicates the severity of symptoms, so the symptom set is X={0,0,0.4,0.8,0,0}, and the fault diagnosis matrix obtained by neural network training is
[0048] R=
[0049] The fuzzy vector Y of the fault cause can be calculated by using it.
[0050] Y=XR={0,0.392,0,0.128,0.763,0.621,0.444}, according to the principle of maximum membership degree, the diagnosis result is y 5 Operational overvoltage and inrush current cause the above symptoms, which is consistent with the actual diagnosis results.
[0051] When the result has two maximum values or the difference between the two values is not large, the continuous multiplication method can be used, that is, take a small value for the 0 elements in the fuzzy diagnostic matrix, such as 0.05, and then multiply the relevant element values according to the column, and c...
Embodiment 2
[0053] Verify the data collected when the capacitor has no faults, the method is as described above, and the capacitor fault symptom matrix obtained at this time is , the fuzzy vector can be obtained from the formula Y=XR as , according to the principle of maximum membership degree, it can be concluded that the capacitor is not faulty at this time, which is consistent with the actual diagnosis result.
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