Applying the fuzzy lattice neurocomputing (FLN) classifier model to gear fault diagnosis

Gear faults are among the main causes of rotating machines breakdown in industrial applications. Intelligent condition monitoring for fault diagnosis can be helpful for detecting gear faults in an early stage so as to reduce production loss and, in addition, improve operation safety and reliability....

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Neural computing & applications 2013-03, Vol.22 (3-4), p.627-636
Hauptverfasser:	Li, Bing, Zhang, Pei-lin, Mi, Shuang-shan, Liu, Peng-yuan, Liu, Dong-sheng
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications Applied sciences Artificial Intelligence Combinatorics. Ordered structures Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer science control theory systems Data Mining and Knowledge Discovery Exact sciences and technology Image Processing and Computer Vision Learning and adaptive systems Mathematics Multivariate analysis Order, lattices, ordered algebraic structures Original Article Probability and statistics Probability and Statistics in Computer Science Reliability, life testing, quality control Sciences and techniques of general use Statistics
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!