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

Abstract

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.

Fault diagnosis method for complex equipment using cased-based reasoning

“…1 i i sim d = − (15) where i=1,2,…,m and j=1,2,…n. In here, the similarity degree is used to show the relationship among the cases.…”

“…Basically, CBR is a basic problem solving technique that adapts the solutions of analogous past problems to solve new problems [15][16][17][18]. CBR solves a new problem by remembering a previous similar situation and by reusing its knowledge.…”

“…Case-based reasoning (CBR),a popular problem solving methodology in data mining field, solves new problems by analyzing the solutions for similar past problems [14][15][16]. The many advantages of CBR include rapid self-learning, effective presentation of knowledge, and the ability to use unrestricted domains, et al And thus it has been widely used to diagnosis field [17][18][19][20][21][22][23][24].…”

Uncertainty analysis of phased mission systems with probabilistic timed automata

“…On the other hand, FTA is a method that examines relationships between the subsystems and components of a system in order to find the root cause of a failure [8]. A graphical representation of the different combinations of events that lead to failure is used to identify failure causes, be they due to software error, user error, or otherwise [9]- [11]. FTA analysis is carried out in two ways.…”

Timed Fault Tree Models of the China Yongwen Railway Accident

“…A fault tree (FT) is a model which logically and graphically represents the various combinations of possible events, either faulty or normal, that occur in a system and lead to unexpected events or states [7]. FTs can be used to identify the cause of undesired events [4], [8]. Faults can be due to hardware failure, software error, or human error.…”