Combined computational intelligence and analytical methods in fault diagnosis

2011 ◽  
pp. 349-392 ◽  
Author(s):  
Ronald Patton ◽  
Jozef Korbicz ◽  
Martin Witczak ◽  
Faisel Uppal
Keyword(s):  
Fault Diagnosis ◽  
Computational Intelligence ◽  
Analytical Methods

scholarly journals Gearbox Fault Diagnosis using Advanced Computational Intelligence

2020 ◽  
Vol 167 ◽  
pp. 1594-1603
Author(s):  
Subrata Mukherjee ◽  
Vikash Kumar ◽  
Somnath Sarangi ◽  
Tarun Kumar Bera
Keyword(s):  
Fault Diagnosis ◽  
Computational Intelligence

Computational Intelligence

2010 ◽  
pp. 111-136 ◽  
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Neural Networks ◽  
Genetic Algorithms ◽  
Computational Intelligence ◽  
Analytical Methods ◽  
Fuzzy Systems ◽  
Academic Community ◽  
Neural Computing ◽  
New Paradigm ◽  
Combined System ◽  
Robust System

In the 1990s, a new paradigm of science characterized by uncertainty, nonlinearity, and irreversibility and tackling complex problems was generally recognized by the academic community. In this new paradigm, traditional analytical methods are ineffectual, and there is recognition of the need to explore new methods to solve the more flexible, more robust system problems. In 1994 the first Computational Intelligence Conference in Orlando, Florida, US, first combined three different areas, smart neural networks, fuzzy systems and genetic algorithms, not only because the three have many similarities, but also because a properly combined system of the three is more effective than a system generated by one single technical field. Various theories and approaches of computational intelligence including neural computing, fuzzy computing and evolutional computing are comprehensively introduced in this chapter.

scholarly journals Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review

2012 ◽  
Vol 14 ◽  
pp. 1226-1231 ◽  
Author(s):  
Huo-Ching Sun ◽  
Yann-Chang Huang ◽  
Chao-Ming Huang
Keyword(s):  
Fault Diagnosis ◽  
Computational Intelligence ◽  
Power Transformers

An approach to robust fault diagnosis in mechanical systems using computational intelligence

2017 ◽  
Vol 30 (4) ◽  
pp. 1601-1615 ◽  
Author(s):  
Adrián Rodríguez Ramos ◽  
José M. Bernal de Lázaro ◽  
Alberto Prieto-Moreno ◽  
Antônio José da Silva Neto ◽  
Orestes Llanes-Santiago
Keyword(s):  
Fault Diagnosis ◽  
Computational Intelligence ◽  
Mechanical Systems
Sign in / Sign up

Export Citation Format

Share Document