Master's thesis at the College of Engineering, University of Basrah, looking at (smart diagnosis to give rotary machines using artificial neural networks, vector teaching aids, and artificial immune systems)

A master’s thesis at the College of Engineering at the University of Basrah examined (intelligent diagnosis to give rotary machines using artificial neural networks, vector teaching aids and artificial immune systems) for the student Abdul Razzaq Ali Abdul Razzaq. Neural networks, vector learning aids, and the artificial immune system. Choosing the right traits is the most important thing in the field of training and diagnosis, and it is the main issue in this field. Data collected from two horizontal and vertical channels in three cases

First, the time and frequency bands are used as an input for the three proposed methods, secondly, using the frequency band only, and thirdly by using part of the time band features with the frequency band features of two speeds.