Application and algorithm optimization of smart sensors in electromechanical systems

As a cutting-edge technology, smart sensor technology provides a brand new solution for monitoring, controlling and optimizing electromechanical systems with its high precision, high sensitivity and multifunctionality. Based on the background of the application of smart sensor technology in electromechanical systems, this paper first analyzes the non-stationary signals in electromechanical systems using wavelet transform, then proposes the method of extracting the feature information of electromechanical vibration signals, and then applies the SVM parameters based on PSO to analyze the real-time key parameters of motors, and then makes early warning on the possible fault state through the running state of motors, so as to realize the monitoring of the motor's running state. Finally, the method of this paper is applied to test the electromechanical system, and the results show that the electromechanical system fault identification model can make real-time state determination of the motor running state, which helps to carry out non-stop detection and predictive maintenance of the on-line running electromechanical in the production line.