Induction Motor Fault Detection Using Motor Current Signature Analysis Technique
Ramadoni Syahputra(a)*, Hedi Purwanto(a), Rama Okta Wiyagi(a), Indah Soesanti(b)
(a) Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Indonesia, *Email: ramadoni[at]umy.ac.id
(b) Department of Electrical Engineering and Information Technology, Universitas Gadjah Mada, Indonesia
Abstract
This paper presents a study of induction motor fault detection using motor current signature analysis technique. Nowadays, the three-phase squirrel cage induction motor became the key element in all industrial plants. The advantage of using this type of motor is that the construction is simple and almost without maintenance. In long-term operations, induction motors can experience interference that can inhibit the production process and have an impact on decreasing productivity and financial losses. To prevent these adverse effects, well-planned maintenance and monitoring are needed. The monitoring system needed is a condition monitoring system that can predict and identify pre-fault conditions so that it is useful to prevent the time of unwanted damage. Motor current signature analysis (MCSA) technique is a reliable technique for identifying induction motor pre-fault conditions. This study focuses on the experimental results of three phase induction motor monitoring to identify the condition of the rotor bar and the unbalanced stator current. Analysis of monitoring results is presented in this paper and several key variables related to motor damage are discussed.
Keywords: Induction motor, monitoring, MCSA, faults.
Topic: International Symposium of Engineering, Technology, and Health Sciences