Survey on Neuro-Fuzzy Systems and their Applications in Technical Diagnostics

• Abstract:

  Both fuzzy logic, as the basis of many inference systems, and Neural Networks, as a powerful computational model for classification and estimation, have been used in many application fields since their birth. These two techniques are somewhat supplementary to each other in a way that what one is lacking of the other can provide. This led to the creation of Neuro-Fuzzy systems which utilize fuzzy logic to construct a complex model by extending the capabilities of Artificial Neural Networks. Generally speaking all type of systems that integrate these two techniques can be called Neuro-Fuzzy systems. Key feature of these systems is that they use input-output patterns to adjust the fuzzy sets and rules inside the model. The paper reviews the principles of a Neuro-Fuzzy system and the key methods presented in this field, furthermore provides survey on their application for technical diagnostics.
• Keywords:

  technical diagnostics, neurofuzzy systems, overview
• Download:

  IMEKO-TC10-2014-015.pdf
• DOI:

  _unreg_tc10-2014.015

Event details:

• IMEKO TC:

  TC10
• Event name:

  TC10 Workshop on Technical Diagnostics 2014
• Title:

  13^th IMEKO TC10 Workshop "Advanced measurement tools in technical diagnostics for systems' reliability and safety"

• Place:

  Warsaw, POLAND
• Time:

  26 June 2014 - 27 June 2014