Analysis of Mechanical Faults of Asynchronous Motors Using the Motor Current Signal Analysis Method

EasyChair Preprint no. 9321

Abstract

Today, the role of condition monitoring of electrical machines has significantly changed the measuring procedures developed for rotating machines. The rapid development of computer technology, combined with measurement technology, enables the analysis of unlimited amounts of information. It is processing and an information acquisition procedure that defines the current physical state of the machine and can form a learning system. The thesis examines the possibilities of this and presents an error metric possibility. There are many rotating machines in the industry, cooperation and control are necessary, continuous condition monitoring. Here, the goal is not only to detect error signals, but to manage and develop a source of information that goes beyond this, moving towards the field of self-learning electric drives. The joint work of machines and systems, the analysis and correction of each other's operating characteristics, and the drawing of conclusions.

Keyphrases: csapágy hibafrekvencia, hibametria, tengelybeállítási hiba, állapotfelügyelet

@Booklet{EasyChair:9321,
  author = {István Bendiák and Sándor Semperger},
  title = {Analysis of Mechanical Faults of Asynchronous Motors Using the Motor Current Signal Analysis Method},
  howpublished = {EasyChair Preprint no. 9321},

  year = {EasyChair, 2022}}