Intelligent troubleshooting of complex machinery

Davidson, Philippe; Halasz, Mike; Phan, Sieu; Hakima, Suhayya Abu

doi:10.1145/98784.98791

Cited by 1 publication

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The design of the user interface has gone through a series of iterations that have enabled an effective match between system requirements and user preferences [1]. The interface has been implemented using ART ~ (the Automated Reasoning Tool) and Common LISP running on SUN workstations.…”

Section: Resetmentioning

confidence: 99%

See 1 more Smart Citation

JETA: A knowledge-based approach to aircraft gas turbine engine maintenance

et al. 1992

Self Cite

View full text Add to dashboard Cite

Aircraft gas turbine engine maintenance is a complex task requiring not only specialized technical skill but effective integration of many sources of information. Traditionally, military maintenance technicians make extensive use of common sense knowledge, equipment manuals, pilot reports, instrument readings, engine settings and physical observations. Reasoning based upon patterns in sensor data, case histories and past maintenance is infrequently carried out. Difficulties in maintenance arise from the need to quickly restore the engines to an operational state, the frequent reassignment of technicians and the awkward access to, and interpretation of, data. There is a need to overcome these factors.This paper describes a knowledge-based diagnostic system for military gas turbine aero-engines. The objectives were to develop a system which encodes the heuristics of technicians and to provide an expandable framework for automating the technical manuals and incorporating explanations, data interpretation, as well as case history and model-based reasoning. The eventual goal is to apply the system to the maintenance of complex mechanical equipment and have it reason, in an on-line mode, with data obtained from a data acquisition system.A description of the application area and the features of the system, in its current stage of development, are discussed. This paper will be of practical benefit to those developing knowledge-based maintenance systems for complex mechanical equipment.

show abstract

Section: Resetmentioning

confidence: 99%

“…These requirements are part of a comprehensive list drawn up earlier on in the project [1]. The requirements imposed by troubleshooting tasks led to the creation of a diagnostic shell which can be extended from aircraft engines to other complex machinery.…”

Section: Introductionmentioning

confidence: 99%