Study of the application of MCSA at Induction Motors of a Roller Table

Electric motor fault mapping techniques have been widely used to increase the performance of industrial assets. A major challenge in this scenario is the conflict between equipment that monitors assets and other electrical and electronic equipment installed in the industry, such as capacitors, inductors, among others that influence the harmonics present in the network. One of the most used techniques when we talk about electric motor diagnostics is Current Signature Analysis (ESA). ESA is a set of techniques capable of detecting faults in any electromechanical assembly by reading electrical signals. According to BONALDI et al [1], among the techniques that make up ESA, MCSA (Motor Current Signature Analysis) is the most used technique in the industrial sector and stands out for its scope and simplicity, as it only requires analyzing the harmonic spectrum signal. current of the machine, thus detecting abnormal conditions in the equipment. This article aims to demonstrate the application of MCSA and study the possible applicability of using these techniques to improve the reliability of a roller table where 268 electric motors are installed in series and which use a frequency inverter to power the motors. This starting system can make the MCSA technique difficult and this problem will also be discussed.