One of the most significant factors that is vital to the generation and distribution of power is power quality (PQ). Power quality problems have been growing significantly and gaining attention in recent years because it is required to provide its final users should get electricity with good benefit with respect to economically and quality. One of the main applications of power quality is the detection and correction of power quality problems in electrical and electronic devices. The different kinds of PQ disturbances that happen in devices must be recognized and categorized. To do this, several distorted signals are produced with the aim of signal processing techniques. We present a code that uses the Signal energy operator (SEO) energy and a machine learning technique for single-phase and three-phase systems to identify these types of pq events and for their behavior a MATLAB model is designed.