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Can I read A Neuro-fuzzy Technique for Fault Diagnosis and Its Application to Rotating Machinery on EtoBox?
A Neuro-fuzzy Technique for Fault Diagnosis and Its Application to Rotating Machinery by Enrico Zio; Giulio Gola is a Engineering article available to read on EtoBox.
What is A Neuro-fuzzy Technique for Fault Diagnosis and Its Application to Rotating Machinery about?
Malfunctions in machinery are often sources of reduced productivity and increased maintenance costs in various industrial applications. For this reason, machine condition monitoring is being pursued to recognise incipient faults. In this paper, the fault diagnostic problem is tackled within a neuro-fuzzy approach to pattern classification. Besides the primary purpose of a high rate of correct classification, the proposed neuro-fuzzy approach also aims at obtaining an easily interpretable classification model. The efficiency of the approach is verified with respect to a literature problem and then applied to a case of motor bearing fault classification.
Who reads A Neuro-fuzzy Technique for Fault Diagnosis and Its Application to Rotating Machinery?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Enrico Zio; Giulio Gola
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0951-8320)
- Published
- 2009
- Language
- EN
- Field
- Engineering (Physical Sciences)