Fault Detection and Diagnosis in Induction Machines: A Case Study - Technological Innovation for the Internet of Things Access content directly
Conference Papers Year : 2013

Fault Detection and Diagnosis in Induction Machines: A Case Study


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).
Fichier principal
Vignette du fichier
978-3-642-37291-9_30_Chapter.pdf (4 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01348765 , version 1 (25-07-2016)





Miguel Marques, João Martins, V. Fernão Pires, Rui Dias Jorge, Luís Filipe Mendes. Fault Detection and Diagnosis in Induction Machines: A Case Study. 4th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2013, Costa de Caparica, Portugal. pp.279-286, ⟨10.1007/978-3-642-37291-9_30⟩. ⟨hal-01348765⟩
99 View
384 Download



Gmail Facebook X LinkedIn More