Breaker state detection method based on waveform characteristics identification
A circuit breaker state and detection method technology, which is applied in the direction of circuit breaker testing, etc., can solve the problem that the failure of the circuit breaker mechanism cannot be effectively detected, and achieve the goal of optimizing the state management mode and state maintenance strategy, reducing investment, and improving detection efficiency Effect
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[0059] see figure 1 In this embodiment, the circuit breaker state detection method based on waveform feature recognition includes the following steps:
[0060] Step 1. Collect a normal opening and closing current signal x(t) of a circuit breaker under normal working conditions.
[0061] Step 2. Decompose the current signal x(t) into m intrinsic mode function components Intrinsic Mode Function, referred to as IMF components, namely:
[0062] x(t)=∑c i (t)+r i (t);
[0063] Among them, c i (t) is an IMF component of the current signal x(t), i=1,...,m; r i (t) is the difference signal.
[0064] Step 3. Add the first p-order IMF components, p≤m, to form the current signal z(t) after denoising:
[0065]
[0066] Step 4. Analyze the current denoising signal z(t), and obtain the feature vector set X of the opening and closing current signal of the circuit breaker under normal working conditions: is the coordinate of the feature point corresponding to the feature vector of...
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