Integrated Intellectual Approach to the Diagnostics of Defects of Operations of Induction Motors

This paper will show the procedures for the intelligent assessment of the state of the electric motors in order to identity a set of defects. Procedures involve the use of speech processing methods. Initially, an attribute vector is formed on the basis of which standards are created that are subsequently used as average performances of the technical condition. Further, using the trained artificial neural networks, the condition of an object is recognized. The obtained performances of the object are also used to form the knowledge base of the expert system with the help of which decisions are subsequently made on the condition of the electric motor.