Title
Integrating model-based diagnosis techniques into current work processes --- three case studies from the INDIA project
Abstract
Although the area of model-based diagnosis has developed a numberof prototypes with impressive features that promised economicimpact and, hence, caught industrial interest, the number of actualindustrial applications is still close to zero. One of the reasonsis that the successful techniques have not yet been turned intotools that reflect and support the current diagnostic workprocesses and their existing tools. The INDIA project joined eightGerman partners (research groups, software suppliers, and endusers) in an attempt to take a major step in the transfer ofmodel-based diagnosis techniques into industrial applications. Thispaper describes part of the work carried out in this project.Rather than presenting the theoretical foundations of thetechniques in depth, we focus on the aspect of how model-baseddiagnostic techniques can be related to established tools andsystems in order to provide some leverage for today's workprocesses and to change them gradually, as opposed to postulating aradical change in current practice and organizational structures.From this perspective, we discuss the utilization of model-basedtechniques for the generation of fault trees for on-line testingand diagnosis of fork lifters, generation of test plans for anintelligent authoring system for car diagnosis manuals, and theexploitation of existing state-chart process descriptions forpost-mortem diagnosis of processes in a dyeing plant.
Year
Venue
Keywords
2000
AI Commun.
model-based diagnosis,transfer ofmodel-based diagnosis technique,forpost-mortem diagnosis,current practice,current diagnostic workprocesses,current work process,aradical change,car diagnosis manual,case study,established tools andsystems,india project,on-line testingand diagnosis,organizational structure
Field
DocType
Volume
Fork (system call),Economic impact analysis,Test plan,Organizational structure,End user,Computer science,Authoring system,Software,Artificial intelligence,Fault tree analysis
Journal
13
Issue
ISSN
Citations 
2
0921-7126
6
PageRank 
References 
Authors
0.51
4
5
Name
Order
Citations
PageRank
Heiko Milde192.36
Thomas Guckenbiehl2162.71
Andreas Malik370.86
Bernd Neumann419940.19
Peter Struss536552.90