Condition Monitoring and Diagnosis of Faults in the Electric Induction Motor

Abstract

Problem statement:The diagnosis of failures in the induction machine, when it is implemented effectively and whether it allows detecting early deterioration of the system, represents a means to help achieve better productivity. Approach: Primary purpose was to detect and locate a possible malfunction of equipments. In this study we developed a method using the three phasebiphase transformation (shape recognition), based on a two-dimensional representation of the threephase components of the stator current and rotor flux. This approach was a static approach, considering the necessity to make several recordings of signals. Results: In this study we considered defect type in the induction machine with broken rotor bars. We presented signatures of the stator current and rotor flux for the healthy model complete and permanent regime, and then the signatures of the same quantities in continuous operation and complete regime for the model with short circuit and broken bars failure. Conclusion/Recommendation: Systems of diagnosis must be conceived to support many procedures of test starting ones the others and often functioning in parallel and different places.

Bir Asenkron Motorun Mekanik Titreşim Sinyallerinin Ölçülerek Arıza Analizinin Yapılması

“…Dolayısıyla asenkron motorun çalışma performansının en üst düzeyde tutulabilmesi için bu motorların durumlarının gerçek zamanlı olarak izlenmesi ve parametrelerindeki anlık değişimlerin analiz edilmesi gerekmektedir. Gelişmekte olan yaklaşımlarda tesiste bulunan bakımların zamanının belirlenmesi ve periyodik bakım planının sağlanması için kondisyon izleme yöntemi ile kestirimci bir bakım algoritması ortaya koyulması amaçlanmaktadır (Medoued et al, 2009). Gerçek zamanlı izleme asenkron motorun performansını korumak için yapılmaktadır (Ilonen et al, 2005).…”

Investigation on the Diagnosis of Simple and Combines Mechanical Faults in Asynchronous Motor Based Electric Drives

“…This paper tends toward an experimental approach for the diagnosis and detection of the aforementioned mechanical anomalies. Using signal processing, this approach is based on the knowledge of the healthy system's behavior which is then compared with the signals measured during different tests of the machine degradation (Concari et al, 2010;Medoued et al, 2009). Compared to previous works, this experimental research uses a combination of techniques by analyzing the phasic current (Kazzaz and Singh, 2003); Oumaamar et al (2009) …”