Design of a generic product and process development system a hybrid case-based reasoning approach

2007 ◽  
Vol 4 (3/4) ◽  
pp. 310
Author(s):  
K.L. Choy ◽  
C.K. Choi ◽  
H.K.H. Chow ◽  
J.S.K. Chan ◽  
A.Y.K. Yam
Keyword(s):  
Process Development ◽  
Generic Product ◽  
Case Based Reasoning ◽  
Development System ◽  
System A ◽  
Product And Process ◽  
Case Based

Applying a case-based reasoning method for fault diagnosis during maintenance

2009 ◽  
Vol 223 (10) ◽  
pp. 2431-2441 ◽  
Author(s):  
Y-T Tsai
Keyword(s):  
Fault Diagnosis ◽  
Flow Analysis ◽  
Fault Tree Analysis ◽  
Case Based Reasoning ◽  
Web Based ◽  
Information Flow Analysis ◽  
Microsoft Access ◽  
System A ◽  
Moulding Machine ◽  
Case Based

The development of a fault-diagnosis system (FDS) could be helpful in identifying the source of faults before the occurrence of complete system failure. Here we report on such a diagnostic procedure for narrowing down maintenance tasks and shortening system downtime. A web-based FDS is developed based on case-based reasoning (CBR) from previous maintenance experience, for an injection moulding machine (IMM). The techniques of fault tree analysis (FTA) and information flow analysis are introduced to systematically clarify possible faults and symptoms shown by a system. A logical process is introduced to determine the correlation between the possible faults and the symptoms for computing case similarity while progressing CBR diagnosing. Some frontpages are developed for the CBR diagnosis using an ASP program in cooperation with a Microsoft Access database. The resultant FDS achieves good results with the potential for supporting remote IMM maintenance.

A complete online-SVM pipeline for case-based reasoning system: a study on pipe defect detection system

2020 ◽  
Vol 24 (22) ◽  
pp. 16917-16933
Author(s):  
D. Van-Khoa Le ◽  
Zhiyuan Chen ◽  
Yee Wan Wong ◽  
Dino Isa
Keyword(s):  
Defect Detection ◽  
Detection System ◽  
Case Based Reasoning ◽  
Reasoning System ◽  
System A ◽  
Case Based

Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study

2009 ◽  
Vol 36 (2) ◽  
pp. 3407-3420 ◽  
Author(s):  
Reyes Pavón ◽  
Fernando Díaz ◽  
Rosalía Laza ◽  
Victoria Luzón
Keyword(s):  
Parameter Tuning ◽  
Case Based Reasoning ◽  
Reasoning System ◽  
System A ◽  
Automatic Parameter Tuning ◽  
Case Based

Case-Based Reasoning Approaches for Gas Turbine Trip Diagnosis

2007 ◽  
Author(s):  
Catherine M. Graichen ◽  
William E. Cheetham
Keyword(s):  
Control System ◽  
Gas Turbines ◽  
Primary Sources ◽  
Initial Assessment ◽  
Case Based Reasoning ◽  
Additional Information ◽  
System A ◽  
And Control ◽  
Case Based

Effective maintenance, repair and design improvements of gas turbines require the classification of turbine automatic shutdown events into actionable categories. In particular, analysis is required at two distinct points in the life cycle of a shutdown event. The first evaluation is at the time of the shutdown when an initial assessment of the cause and the appropriate action must be decided as quickly as possible to return the turbine to service. At the time of the event, the primary sources of data are information collected from the sensors and control system. A second assessment is often performed as a post-event evaluation using additional information to validate the cause. General Electric created Case-Based Reasoning (CBR) tools to perform these classifications automatically. The first CBR tool, which works at the time of the event, was deployed in 2004. The second CBR tool was placed in operation in 2006.

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