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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Fault Detection and Diagnosis in Induction Machines: A Case Study
verfasst von : Miguel Marques, João Martins, V. Fernão Pires, Rui Dias Jorge, Luís Filipe Mendes
Erschienen in: Technological Innovation for the Internet of Things
Verlag: Springer Berlin Heidelberg
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Nowadays in industry there many processes where human intervention is replaced by electrical machines, especially induction machines due to his robustness and performance. Although, induction machines are a high reliable device, they are also susceptible to faults. Therefore, the study of induction machine state is essential to reduce human and financial costs. It is presented in this paper an on-line system for detection and diagnosis of electrical faults in induction machines based on computer-aided monitoring of the supply currents. The main objective is to detect and identify the presence of broken rotor bars and stator short-circuits in the induction motor. The presence of faults in the machine causes different disturbances in the supply currents. Through a stationary reference frame, such as
αβ
-vector transform it is possible to extract and manipulate the results obtained from the supply currents using Principal Component Analysis (PCA).