Power grid fault diagnosis method and system based on SE-Inception network
A technology for power grid faults and diagnosis methods, which is applied in fault locations, neural learning methods, biological neural network models, etc., can solve problems such as low versatility, power grid faults cannot meet the safe and stable operation of power grids, and modeling process models are difficult to maintain. , to achieve the effect of saving labor costs and high accuracy
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[0065] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.
[0066] like Figure 1-2 As shown, Embodiment 1 of the present invention provides a power grid fault diagnosis method based on SE-Inception network, which is suitable for a fault diagnosis system whose fault information source is power grid fault alarm information. In the preferred but non-limiting embodiment of the present invention , the method includes the following steps:
[0067] S1. Collect the alarm information text when the power grid fails from the SCADA system, and preprocess the alarm information text, including:
[0068] S1.1. The SCADA system obtains in real time the sequence of events (sequence of events, SOE) generated by the monitoring equipment when an accident occu...
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