Automated Diagnostics of Rotating Machinery
Keyword(s):
This paper provides an overview of the current available technologies for automated machinery condition evaluation and fault diagnosis within an overall plant asset management system. The paper presents a basic overview of an integrated plant asset management system, and focuses on the available technologies for automated diagnostics including statistical analysis of data, parametric model diagnosis, non-parametric model diagnosis (artificial neural networks), and rule-based diagnostics including expert systems and fuzzy logic. The current state-of-the-art and the expected realistic future developments are discussed.
2017 ◽
Vol 7
(4)
◽
pp. 11-16
Keyword(s):
2018 ◽
Vol 2018
(10)
◽
pp. 3938-3941
Keyword(s):
Keyword(s):
2007 ◽
Vol 2007
(14)
◽
pp. 3998-4015