| J. Pan. Qualitative Reasoning with Deep-level Mechanism Models for Diag- noses of Mechanical Failures. In Proceedings of CAIA-84, Denver, Colorado, IEEE, December 1984. |
....stored in the knowledge base can be of different levels of reasoning. It can vary from a shallow level, where the set of rules has been derived purely from the experience of human experts, to a deep level, where the set of rules has been derived from actual theories related to the domain [11] [12]. Finally, the third component, the inference engine, uses the information stored in the knowledge base to diagnose the problem, following one of several probability based theoretical formulations [5] 18] 2.1 Description Of The Two Knowledge Base Approaches 2.1.1 Deep Level Knowledge Bases A ....
....A deep level diagnostic system uses models of the domain to infer the cause of the problem. It is very powerful when these models are physically based and well known, because deep level diagnostic systems can find the root cause of the problem by deriving it from the theory of the domain [5][12][15] If the domain model is empirical, this method is not as powerful because the evidence could lie outside the experimental range of the model [8] 9] 10] In either case, however, a deep level diagnostic system is still very desirable because it can find the proper solutions in unanticipated ....
Y. Pan, "Qualitative Reasonings with Deep-Level Mechanism Models for Diagnoses of Dependent Failures", Ph.D dissertation, University of Illinois at Urbana-Champaign, CSL Report T-132, 1983.
....and tested on several dynamic devices (a temperature controller, a pressure regulator, and a toaster) The examples took only a few minutes to run on an Explorer I Lisp machine. Related work Other related research in the diagnosis of dynamic continuous systems includes the early work of Pan [7] and Scarl et al. 8] as well as Dvorak and Kuipers modelbased monitoring work [9] However, these systems are not based on any formal theory of diagnosis, and their diagnosis algorithms are not as general. As currently implemented, the constraint propagation module does not cache any of its ....
J. Pan, "Qualitative Reasoning with Deep-Level Mechanism Models for Diagnoses of Mechanism Failures," Proceedings of the First Conference on Artificial Intelligence Applications, CS Press, Los Alamitos, California, 1984, pp. 295-- 301.
....the notion of entailment of some temporal constraints from a set of temporal constraints. The language sketched above allows us to express both temporal (non dynamic and dynamic) and time varying behavior. The forms of temporal behavior used in many diagnostic systems based on causal models (e.g. [22, 7, 25]) can be captured using behavior formulae. In this case the atoms correspond to states of the modeled system, behavior formulae correspond to causal relations and the constraints express the temporal relations between the states involved in a causal relation. For example, the following formula: ....
J. Y.-C. Pan. Qualitative reasoning with deep-level mechanism models for diagnoses of mechanisms failures. In Proc. 1st IEEE Conference on AI Applications (CAIA), pages 295--301, Denver, 1984.
....constraints from a set of temporal constraints. The language sketched above allows us to express both temporal (non dynamic and dynamic) and timevarying behavior. The forms of temporal behavior used in many diagnostic systems based on causal models (e.g. Long 1983; Console Torasso 1991a; Pan 1984)) can be captured using behavior formulae. In this case the atoms correspond to states of part of the modeled system, behavior formulae correspond to causal relations and the constraints express the temporal relations between the states involved in a causal relation. For example, the following ....
Pan, J. 1984. Qualitative reasoning with deep-level mechanism models for diagnoses of mechanisms failures.
....interval is suitably mapped to such a structure. To appear in the Artificial Intelligence Journal 12 Here we use specific temporal constraint languages for modeling temporal issues in specific domains. The forms of temporal behavior used in many diagnostic systems based on causal models (e.g. [11, 35, 42]) can be captured using temporal behavior formulae. In this case the atoms correspond to states of (part of) the modeled system, temporal behavior formulae correspond to causal relations and the constraints express the temporal relations between the states involved in a causal relation. For ....
....metric qualit state ad hoc cont. discr. var seq. abs [6] X X X A Tc [7] X X A Tc [11] X X A Tc [16] X X X C Tc [21] X X X X C Tc [22] X X X X X C Tc [23] X X X C Tc [24] X X X X C Tc [28] X X X C Tc [29] X X X X X C Tc [31] X X X C Tc [36] X X X A Tc [38] X X X C Tc [39] X X X A Te [40] X X X C Tc [42] X X X X X [54] X X C [60] X X C Tc Table 1: A classification of approaches in the literature (Ref) as regards the phenomena being considered (Temporal, Dynamic with continuous and discrete change Time varying) the ontology of time being considered (metric i.e. quantitative information ....
[Article contains additional citation context not shown here]
J. Y.-C. Pan. Qualitative reasoning with deep-level mechanism models for diagnoses of mechanisms failures. In Proc. 1st IEEE CAIA, pages 295--301, Denver, 1984. To appear in the Artificial Intelligence Journal 56
.... 1991) X X X X (Downing 1992) X X X X X (Dvorak Kuipers 1989) X X X (Friedrich Lackinger 1991) X X X X (Guckenbiehl Schafer Richter 1990) X X X (Hamscher 1991) X X X X X (Hamscher Davis 1984) X X X (Long 1983) X X (Mosterman Biswas 1997) X X X (Nejdl Gamper 1994) X X X (Ng 1991) X X X (Pan 1984) X X X X X (Struss 1997) X (Williams Nayak 1996) X X Table 1: A classification of approaches in the literature as regards the phenomena being considered (Temporal, Dynamic with a distinction between continuous and discrete change , Time varying) the ontology of time being considered ....
Pan, J. 1984. Qualitative reasoning with deep-level mechanism models for diagnoses of mechanisms failures.
No context found.
J. Pan. Qualitative Reasoning with Deep-level Mechanism Models for Diag- noses of Mechanical Failures. In Proceedings of CAIA-84, Denver, Colorado, IEEE, December 1984.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC