Zobrazeno 1 - 2
of 2
pro vyhledávání: '"T. A. F. Hassan"'
Publikováno v:
Journal of Engineering for Gas Turbines and Power. 129:703-710
In this paper, the application of neural networks and fuzzy logic to the diagnosis of faults in rotating machinery is investigated. The learning-vector-quantization (LVQ) neural network is applied in series and in parallel to a fuzzy inference engine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0891343dac1ede736c07f44a4ffcad59
https://doi.org/10.1115/1.2227417
https://doi.org/10.1115/1.2227417
Publikováno v:
Volume 1: Turbo Expo 2003.
This paper provides a comparison of the performance of five different neural network architectures in diagnosing machinery faults. The network architectures include perceptrons, linear filters, feed-forward, self-organizing, and LVQ. The study provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2733aac38dbc653c868f4695b3809f74
https://doi.org/10.1115/gt2003-38450
https://doi.org/10.1115/gt2003-38450