TY - GEN
T1 - Methodology of diagnostic knowledge acquisition from databases of examples
AU - Moczulski, Wojciech
PY - 2000
Y1 - 2000
N2 - The diagnostics of a critical machinery is nowadays aided by expert systems. Their knowledge bases contain knowledge on diagnostic relationships between a technical state of a given machine, its operating conditions and observable symptoms of this state. This knowledge may be acquired either from human experts or from databases containing examples. The paper focuses on problems of knowledge acquisition from examples. It concerns the whole range of problems starting from preparation of examples up to the verification and validation of the knowledge base at the end of the proceeding. To acquire diagnostic knowledge from a set of examples we apply both machine learning and knowledge discovery methods. An example of the application of described methods for the acquisition of knowledge suitable for diagnosing complex technical states of rotating machinery is also given.
AB - The diagnostics of a critical machinery is nowadays aided by expert systems. Their knowledge bases contain knowledge on diagnostic relationships between a technical state of a given machine, its operating conditions and observable symptoms of this state. This knowledge may be acquired either from human experts or from databases containing examples. The paper focuses on problems of knowledge acquisition from examples. It concerns the whole range of problems starting from preparation of examples up to the verification and validation of the knowledge base at the end of the proceeding. To acquire diagnostic knowledge from a set of examples we apply both machine learning and knowledge discovery methods. An example of the application of described methods for the acquisition of knowledge suitable for diagnosing complex technical states of rotating machinery is also given.
KW - complex technical states
KW - knowledge acquisition
KW - knowledge discovery
KW - learning from examples
KW - machinery diagnostics
UR - https://www.scopus.com/pages/publications/84868236178
U2 - 10.1007/978-3-7908-1846-8_16
DO - 10.1007/978-3-7908-1846-8_16
M3 - Conference contribution
AN - SCOPUS:84868236178
SN - 9783790813098
T3 - Advances in Soft Computing
SP - 175
EP - 184
BT - Intelligent Information Systems -Proceedings of the IIS'2000 Symposium
T2 - 9th Intelligent Information Systems Symposium, IIS'2000
Y2 - 12 June 2000 through 16 June 2000
ER -