Fault optimization module design of power exercise decision system based on optimized Bi-LSTM model

In order to improve the accuracy of fault optimization results and optimize the operation of the power exercise decision-making system, the Bi-LSTM model is introduced and the fault optimization module of the power exercise decision-making system is designed. An optimized Bi-LSTM model is established, making it clear that the participating state variable is the operation time sequence signal of the power exercise decision-making system, and mastering the operation state of the power exercise decision-making system; Combined with the state awareness, the membership degree of the data set is calculated, and the fault characteristic components of the power exercise decision system are extracted. By extracting the results, the design of the fault optimization decision module is realized by using the optimized Bi-LSTM model. The experimental results show that this method has good fault optimization ability, can accurately identify, locate and fault, and has high optimization accuracy.