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A new approach based on boundary analysis of reconstructed phase space for fault diagnosis

2013 9th Asian Control Conference, ASCC 2013 · Ekim 2013

Makale Bilgileri

Dergi2013 9th Asian Control Conference, ASCC 2013
Yayın TarihiEkim 2013
Özet This paper presents a new fault diagnosis approach based on boundary analysis of phase space. The proposed approach requires the measurement of one phase current signal to construct the phase space representation. Each phase space is converted to an image and the boundary of each image is extracted by boundary detection algorithm, helping to construct a characteristic image for each motor condition. The change in boundary of phase space appears to be a useful for diagnosing different motor operating conditions. A pattern recognition algorithm based on neural network is implemented to classify the faults. We will study one and two broken rotor bars faults. Extensive experimental results were carried out to validate the proposed approach, and good results were obtained. © 2013 IEEE.

Yazarlar (3)

1
Ilhan Aydin
ORCID: 0000-0001-6880-4935
2
Mehmet Karaköse
3
Erhan Akin
ORCID: 0000-0001-6476-9255

Anahtar Kelimeler

boundary detection Fault diagnosis image processing induction motors neural networks

Kurumlar

Firat Üniversitesi
Elazig Turkey

Metrikler

1
Atıf
3
Yazar
5
Anahtar Kelime

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