✦ LIBER ✦

Induction machine fault detection using SOM-based RBF neural networks

✍ Scribed by Wu, S.; Chow, T.W.S.

Book ID: 118167094
Publisher: IEEE
Year: 2004
Tongue: English
Weight: 620 KB
Volume: 51
Category: Article
ISSN: 1932-4529
DOI: 10.1109/tie.2003.821897

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Vibration signal analysis for electrical

Vibration signal analysis for electrical fault detection of induction machine using neural networks

✍ Hua Su; Kil To Chong; R. Ravi Kumar 📂 Article 📅 2011 🏛 Springer-Verlag 🌐 English ⚖ 725 KB

Neural network based expert system for i

Neural network based expert system for induction motor faults detection

✍ Hua Su; Kil To Chong 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 753 KB

Adaptive neural-networks-based fault det

Adaptive neural-networks-based fault detection and diagnosis using unmeasured states

✍ Liu, C.-S.; Zhang, S.-J.; Hu, S.-S. 📂 Article 📅 2008 🏛 The Institution of Engineering and Technology 🌐 English ⚖ 226 KB

Machine fault diagnosis using a cluster-

Machine fault diagnosis using a cluster-based wavelet feature extraction and probabilistic neural networks

✍ Gang Yu; Changning Li; Sagar Kamarthi 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 172 KB

FAULT DETECTION USING SUPPORT VECTOR MAC

FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS

✍ L.B. JACK; A.K. NANDI 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 196 KB

Artificial neural networks (ANNs) have been used to detect faults in rotating machinery for a number of years, using statistical methods to preprocess the vibration signals as input features. ANNs have been shown to be highly successful in this type of application; in comparison, support vector mach

Gear fault detection using artificial ne

Gear fault detection using artificial neural networks and support vector machines with genetic algorithms

✍ B. Samanta 📂 Article 📅 2004 🏛 Elsevier Science 🌐 English ⚖ 294 KB