An LSTM-BINN Approach for Built-In Test Analog Signal State Recognition of Heavy-Duty Gas Turbine Controllers.
Congzhi HuangYasong WangGuolian HouJianhua ZhangPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- gas turbine
- object recognition
- recognition rate
- signal processing
- recognition accuracy
- recurrent neural networks
- data mining
- reinforcement learning
- test cases
- control strategy
- fault tree
- real time
- frequency modulation
- analog vlsi
- operating conditions
- test data
- steady state
- non stationary
- state space
- pattern recognition