Circuit Breaker State Detection Method Based on Waveform Feature Recognition
A technology of circuit breaker status and detection method, applied in the direction of circuit breaker testing, etc., can solve problems such as failure of circuit breaker mechanism failure to be effectively detected, achieve optimization of status management mode and status maintenance strategy, improve detection efficiency, and reduce investment. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[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...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


