Interruptions In the Supply of Electricity Cause Numerous Losses to Consumers, Whether
Residential or Industrial and May Result In Fines Being Imposed on the Regulatory Agency's Concessionaire.
In Brazil, the Electrical Transmission and Distribution Systems Cover a Large Territorial Area, and Because
They Are Usually Outdoors, They Are Exposed to Environmental Variations. In This Context, Periodic
Inspections Are Carried Out on the Electrical Networks, and Ultrasound Equipment Is Widely Used, Due To
Non-Destructive Analysis Characteristics. Ultrasonic Inspection Allows the Identification of Defective
Insulators Based on the Signal Interpreted By an Operator. This Task Fundamentally Depends on The
Operator's Experience In This Interpretation. In This Way, It Is Intended to Test Machine Learning
Applications to Interpret Ultrasound Signals Obtained from Electrical Grid Insulators, Distribution, Class 25
Kv. Currently, Research In the Area Uses Several Models of Artificial Intelligence For Various Types Of
Evaluation. This Paper Discuss the Multi Layer Perceptron(Mlp) and Comparison of Single and Multiple
Multi Layer Perceptron(Mlp)