Low-complexity and Fast Extraction Model of High-voltage Electrical Equipment Fault Signal Based on Improved Genetic Algorithm
The problems that the extraction speed is too slow,the extraction position is inaccurate directly affect the normal op-eration of electrical equipment,hence,a low-complexity and fast extraction model for fault signals of high-voltage electrical e-quipment based on improved genetic algorithm is proposed.We establish an objective function,construct an information net-work model which is suitable to the extraction of fault signals of high-voltage electrical production equipment.It can collect and organize data information in the operation,classify and extract according to data types and key features,and substitute it into the operation program to perform fault detection operation model.We introduce the improved genetic algorithm,select the ap-propriate improvement process,and realize the low-complexity,accurate and fast extraction of fault signals of high-voltage e-lectrical equipment.The experimental results show that the model can accurately determine the fault type,the extraction speed is increased by 20％～30％,the complexity is lower,the work effect is better,and the application performance is stronger.
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维普
