Towards the development of multilevel-multiagent diagnostic aids. [Root-cause analysis]
Presented here is our methodology for developing automated aids for diagnosing faults in complex systems based on research at the Pacific Northwest Laboratory (PNL) for the US Department of Energy and the US Nuclear Regulatory Commission. We have designed these aids as multilevel-multiagent diagnostic aids based on principles that should be generally applicable to any complex system. Our research in fault diagnosis at PNL grew out of our work in root-cause analysis (RCA). Our approach consists of those major activities which we categorize as (1) determining knowledge requirements, (2) constructing models, and (3) developing the requirements for representation schemes. We group knowledge for fault diagnosis into two broad groups: cognitive task and process-system knowledge. Our research indicates that a useful representation scheme can be developed employing function and object hierarchies, task required inference, and task specified reasoning control. Formal modeling of the reasoning task determines the required task inference and control. This research has focused on the use of the representation scheme for fault diagnosis. However, preliminary analysis indicates that this same scheme may be useful in automating control tasks. The next phase of this research is to develop a prototype. The prototype system has been specified and we are presently developing knowledge models of the components and system. 19 refs., 15 figs., 10 tabs.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE; USNRC; USDOE, Washington, DC (United States); Nuclear Regulatory Commission, Washington, DC (United States)
- DOE Contract Number:
- AC06-76RL01830
- OSTI ID:
- 6128963
- Report Number(s):
- PNL-7826; ON: DE92000801
- Country of Publication:
- United States
- Language:
- English
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