Study of the Influence of Optimization Methods on the Efficiency of an Extremal Control System Based on Acoustic Anomaly Detection
The paper investigates the influence of optimization methods on the efficiency of an extremal control system based on acoustic anomaly detection. The proposed system can detect abnormal equipment operating modes by analyzing sound characteristics and automatically adapting control parameters to new operating conditions. Using mathematical modeling, the operation of the system with different optimization algorithms (gradient descent, Momentum, Nesterov and RMSProp) was studied.