Neural network applications in fault diagnosis and detection: an overview of implementations in engineering-related systems-Reference-Cited by-同舟云学术

Neural network applications in fault diagnosis and detection: an overview of implementations in engineering-related systems

Published:2018-12-13 Issue:2 Volume:32 Page:447-472
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mohd Amiruddin Ahmad Azharuddin Azhari,Zabiri Haslinda^ORCID,Taqvi Syed Ali Ammar,Tufa Lemma Dendena

Funder

MOSTI

eScience Fund

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3911-5.pdf

Reference87 articles.

1. Pandya DH, Upadhyay SH, Harsha SP (2012) ANN based fault diagnosis of rolling element bearing using time-frequency domain feature. Int J Eng Sci Technol 4(6):2878–2886

2. Zhou J et al (2014) Fault detection and identification spanning multiple processes by integrating PCA with neural network. Appl Soft Comput 14:4–11

3. Gastaldello D et al (2012) Fault location in underground systems using artificial neural networks and PSCAD/EMTDC. In: IEEE 16th international conference on intelligent engineering systems (INES) 2012. IEEE, Lisbon, pp 423–427

4. Samanta B, Al-Balushi KR, Al-Araimi SA (2004) Bearing fault detection using artificial neural networks and genetic algorithm. EURASIP J Adv Signal Process 2004(3):785672

5. Kumar A (2003) Neural network based detection of local textile defects. Pattern Recognit 36(7):1645–1659

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