Research on Fault Prognosis for Hydraulic Directional Valve Based on EMD and ELM

2014 ◽  
pp. 299-308
Author(s):  
Hongru Li ◽  
Fei Gao ◽  
Baohua Xu
Keyword(s):  
Fault Prognosis

Fault prognosis of discrete event systems: An overview

2021 ◽  
Author(s):  
Ana T.Y. Watanabe ◽  
Renan Sebem ◽  
André B. Leal ◽  
Marcelo da S. Hounsell
Keyword(s):  
Discrete Event Systems ◽  
Discrete Event ◽  
Event Systems ◽  
Fault Prognosis

scholarly journals A TSK-Type Recurrent Neuro-Fuzzy Systems for Fault Prognosis

2012 ◽  
Vol 05 (07) ◽  
pp. 477-482 ◽  
Author(s):  
Rafik Mahdaoui ◽  
Leila Hayet Mouss
Keyword(s):  
Fuzzy Systems ◽  
Neuro Fuzzy ◽  
Fault Prognosis

Automatic recommendation of prognosis measures for mechanical components based on massive text mining

2018 ◽  
Vol 14 (4) ◽  
pp. 480-494 ◽  
Author(s):  
Jorge Martinez-Gil ◽  
Bernhard Freudenthaler ◽  
Thomas Natschläger
Keyword(s):  
Fault Diagnosis ◽  
Text Mining ◽  
Design Methodology ◽  
Content Type ◽  
The Past ◽  
Mechanical Component ◽  
The World ◽  
Fault Prognosis ◽  
Mechanical Components ◽  
Unstructured Information

Purpose The purpose of this study is to automatically provide suggestions for predicting the likely status of a mechanical component is a key challenge in a wide variety of industrial domains. Design/methodology/approach Existing solutions based on ontological models have proven to be appropriate for fault diagnosis, but they fail when suggesting activities leading to a successful prognosis of mechanical components. The major reason is that fault prognosis is an activity that, unlike fault diagnosis, involves a lot of uncertainty and it is not always possible to envision a model for predicting possible faults. Findings This work proposes a solution based on massive text mining for automatically suggesting prognosis activities concerning mechanical components. Originality/value The great advantage of text mining is that makes possible to automatically analyze vast amounts of unstructured information to find corrective strategies that have been successfully exploited, and formally or informally documented, in the past in any part of the world.

Fault Prognosis of Key Components in HVAC Air-Handling Systems at Component and System Levels

2020 ◽  
Vol 17 (4) ◽  
pp. 2145-2153
Author(s):  
Ying Yan ◽  
Peter B. Luh ◽  
Krishna R. Pattipati
Keyword(s):  
Fault Prognosis
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