الملخص
In this paper, a neuro-fuzzy fault diagnosis scheme is presented and its ability to detect and isolate sensor faults in an induction motor is assessed. This fault detection and isolation (FDI) approach relies on a combination of neural modelling and fuzzy logic techniques which can deal effectively with nonlinear dynamics and uncertainties. It is based on a two step neural network procedure: a first neural network is used for residual generation and a second fuzzy neural network performs residual evaluation. Simulation results are given to demonstrate the efficiency of this FDI approach.
الكلمات المفتاحية
بيانات النشر
- المعرّف الرقمي
- 10.24200/tjer.vol8iss1pp53-60
- المجلة
- المجلة العُمانية للبحوث الهندسية, 7(2), 53
- الناشر
- جامعة السلطان قابوس
- وصول مفتوح
- وصول مفتوح ذهبي
- الترخيص
- CC BY 4.0
اقتبس هذه المقالة
APA 7
Benloucif, M. L. (2011). Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor. The Journal of Engineering Research, 7(2), 53. https://doi.org/10.24200/tjer.vol8iss1pp53-60
MLA 9
Benloucif, M. L. "Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor." The Journal of Engineering Research, vol. 7, no. 2, 2011, pp. 53. https://doi.org/10.24200/tjer.vol8iss1pp53-60.
شيكاغو (المؤلف–التاريخ)
Benloucif, M. L. 2011. "Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor." The Journal of Engineering Research 7 (2): 53. https://doi.org/10.24200/tjer.vol8iss1pp53-60.
هارفارد
Benloucif, M. L. (2011) 'Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor', The Journal of Engineering Research, 7(2), pp. 53. doi:10.24200/tjer.vol8iss1pp53-60.
فانكوفر
Benloucif ML. Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor. The Journal of Engineering Research. 2011;7(2):53. doi:10.24200/tjer.vol8iss1pp53-60
IEEE
M. L. Benloucif, "Neuro-Fuzzy Sensor Fault Diagnosis of an Induction Motor," The Journal of Engineering Research, vol. 7, no. 2, pp. 53, 2011, doi: 10.24200/tjer.vol8iss1pp53-60.