Weak inertia characteristics of power systems with high penetrations renewables have become a prominent problem for frequency security. To solve this problem, convolutional neural network (CNN)-based deep learning approach is applied to realize rapid security assessment (FSA). First, the time series feature autonomously mined from wide-area measurement data serve as input data. By doing so, com...