Quantum structure classification by Kohonen Self-Organizing Map and by Fuzzy C-Means algorithm

Ürmös, Antal; Farkas, Márk; Kóczy, László T.; Nemcsics, Ákos

doi:10.1109/icsse.2013.6614682

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Cited by 2 publications

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“…The purpose is to identify the strengths and weaknesses of diagnostic methods mentioned above. Research conducted by (Venkatasubramanian et al, 2003) are used to define new features to judge a diagnostic method.…”

Section: Discussionmentioning

confidence: 99%

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PHM Survey : Implementation of Diagnostic Methods for Monitoring Industrial Systems

Soualhi

Elyousfi

Hawwari

et al. 2019

IJPHM

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The modernization of industrial sectors involves the use of complex industrial systems and therefore requires condition based maintenance. This one aims at increasing the operational availability and reducing the life-cycle while increasing the reliability and life expectancy of industrial systems. This maintenance also called predictive maintenance is a part of an emerging philosophy called PHM ‘Prognostics and Health Management’. In this paper, the PHM will be emphasized on the existing diagnostic methods used for fault isolation and identification. This depicts an important part of the PHM as it exploits the data given by the signal-processing step and its output is treated by the prognostic part. The diagnostic is mainly classified in three categories that will be highlighted in this paper.

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Section: Discussionmentioning

confidence: 99%

“…This means that for a space of input elements, the SOM is able of grouping them in classes. (Urmos et al, 2013) presented the fourth steps of establishing SOM. In the initiation step, random weights are affected to p defined connections.…”

Section: Neural Networkmentioning

confidence: 99%