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Knowledge management system for marine diesel engine diagnosis

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Języki publikacji
EN
Abstrakty
EN
The paper presents the conception of knowledge management system for a diagnostic expert system. Development of knowledge management system is necessary during the construction of the expert system. The most important reason is that knowledge in this system is not a static whole, but is subject to dynamic growth, is modified and updated. Advantages afforded by the creation of diagnostic systems based on knowledge, such as expert systems, compared to traditional diagnostic systems based on closed algorithms were characterized. The conception of knowledge management system established in the diagnostic work associated with the development of expert system for marine diesel engine diagnosis. The main elements of the developed management system are: dictionary editor, rule editor, knowledge assessment module and import and export module. Knowledge management system is also equipped with an electronic form that is used to obtain knowledge from experts, specialists in diesel engines operation. The article presents the tasks and the performance of individual components of the system. The knowledge management system enables integration within a single frame of both information collected from experts and automatically collected one. A doubtless advantage of expert system is the opportunity of updating and developing the content recorded in the database. Due to this feature, the effectiveness of the system may grow during engine operation and facilitate gaining new experience.
Twórcy
autor
  • Gdynia Maritime University, Faculty of Marine Engineering Morska Street 83, 81-225 Gdynia, Poland, pawletko@am.gdynia.pl
Bibliografia
  • [1] Clips. User’s Guide, 2007.
  • [2] Grzywaczewski, Z., Niezawodność statków, Wydawnictwa Przemysłu maszynowego WEMA, Warszawa 1988.
  • [3] Moczulski, W., Metody pozyskiwania wiedzy dla potrzeb diagnostyki maszyn, ZN Pol. Śląskiej, Nr 1382, Seria: Mechanika, Z. 130, Gliwice 1997.
  • [4] Mulawka J., Systemy ekspertowe, WNT, Warszawa 1996.
  • [5] Pokojski, J., Systemy doradcze w projektowaniu maszyn, WNT, Warszawa 2005.
  • [6] Predki, B., Slowinski, R., Stefanowski, J., Susmaga, R., Wilk, Sz., ROSE – Software Implementation of the Rough Set Theory, In., L. Polkowski, A. Skowron, eds. Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence, vol. 1424. Springer-Verlag, 605-608, Berlin 1998.
  • [7] Predki, B., Wilk, Sz., Rough Set Based Data Exploration Using ROSE System. In., Z.W.Ras, A. Skowron, eds. Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence, vol. 1609. Springer-Verlag, 172-180, Berlin 1999.
  • [8] Żółtowski, B., Cempel, Cz., Inżyniera Diagnostyki Maszyn, Polskie Towarzystwo Diagnostyki Technicznej, Instytut Technologii Eksploatacji PIB Radom, Warszawa, Bydgoszcz, Radom 2004.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ5-0039-0010
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