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Problems of declarative and procedural knowledge acquisition for machinery diagnostics

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Wybrane pełne teksty z tego czasopisma
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Języki publikacji
EN
Abstrakty
EN
The paper deals with selected problems of knowledge acquisition for intelligent information systems that may be applied for aiding technical diagnostics of machinery and equipment. Two main kinds of knowledge are discussed, i.e. declarative and procedural knowledge. Some methods of declarative knowledge acquisition from domain experts and from databases are presented, the latter being divided into machine learning methods and knowledge discovery ones. Examples of declarative knowledge acquisition and discovery from databases are shown. Moreover, an example of procedural knowledge acquisition from a domain expert is presented. The paper concludes with new issues of knowledge acquisition methodology.
Rocznik
Strony
71--86
Opis fizyczny
Bibliogr. 35 poz., rys., tab., wykr.
Twórcy
autor
  • Politechnika Śląska, Katedra Podstaw Konstrukcji Maszyn, ul. Konarskiego 18a, 44-100 Gliwice
Bibliografia
  • [1] B.G. Buchanan, et al. Constructing an expert system. In: F. Hayes-Roth, D.A. Waterman, eds., Building Expert Systems, 127-168. Addison-Wesley, Reading, MA, 1983.
  • [2] W. Cholewa, J. Kaźmierczak. Data Processing and Reasoning in Technical Diagnostics. WNT, Warszawa, 1995.
  • [3] W. Cholewa, J. Kiciński, eds. Machinery Diagnostics. Inverted Diagnostic Models (in Polish). Silesian University of Technology, Gliwice, 1997.
  • [4] K. Ciupke. Selection and reduction of information in machinery diagnostics (in Polish). Ph.D. thesis, Silesian University of Technology, Department of Fundamentals of Machinery Design, Gliwice, 2001.
  • [5] J. Dietrych. System and Design (in Polish). WNT, Warszawa, 1985.
  • [6] J. Dougherty, R. Kohavi, M. Sahami. Supervised and unsupervised discretization of continuous features. In: A. Prieditis, S. Russell, eds. Machine Learning: Proceedings of the i2th International Conference. Morgan Kaufman, San Francisco, CA, 1995.
  • [7] A. Giordana, L. Saitta, F. Bergadano, F. Brancadori, D. De Maxchi. Enigma: A system that learns diagnostic knowledge. IEEE Trans. on Knowledge and Data Engineering, 5(1): 15-28, 1993.
  • [8]J.W. Grzymała-Busse. Managing uncertainty in machine learning from examples. In: M. Dąbrowski, Z. Raś, eds. I machine learning from examples. Inielligent Information Systems: Proceedings of the Conference "Practical Aspects of Artificial Intelligence III”, Wigry (Poland), 70-84. Insitute of Computer Science, Polish Academy of Sciences, Warszawa, 1994.
  • [9] P. Kostka Expert System for Application of Multi-Dimensional Signal Analysis for Investigations of Rotor Vibrations (in Polish), Master’sthesis, Silesian University of Technology. Department of Fundamentals of Machinery Design, 1997.
  • [10] P. Kostka. Examination of sensitivity of features of diagnostic signals (in Polish). In: 3rd National Conference „Diagnostics of Industrial Processes”, Jurata (Poland), 85-90. Insitute of Computer Science, Polish Academy of Sciences, 1998.
  • [11] P. Kostka. Optimization of representation space for knowledge acquisition on rotating machinery using machine learning methods. In: Intelligent Information Systems VII: Proceedings of the Workshop, Malbork (Poland), 235-238. Insitute of Computer Science, Polish Academy of Sciences, Warszawa, 1998.
  • [12] P. Kostka. Application of machine learning methods to the recognition of shaft bearing misalignment. In: M. Kłopotek, M. Michalewicz, S.T. Wierzchoń, eds., Intelligent Information Systems IX, Proceedings of the Workshop, Bystra, 51-55. Insitute of Computer Science, Polish Academy of Sciences, Warszawa, , |
  • Workshop, Bystra, 51-55 R "=„ 1 .P bole dn nomaieition of desian knowledge (in Polish). Ph.D.
  • [13] P. Maniak. Examination of usefulness of inductive methods to acquisition of design knowledge (in Polish). Ph.D. thesis, Silesian University of Technology, Department of Fundamentals of Machinery Design, Gliwice, 1999.
  • [14] R.S. Michalski. A theory and methodology of inductive learning. Artificial Intelligence, 20: 111-161, 1983.
  • [15] R.S. Michalski. Machine learning, data mining and knowledge discovery. Principles and applications. Tutorial on the Workshop „Intelligent Information Systems” IIS'97, Zakopane (Poland). Institute of Computer Science, Polish Academy of Sciences, Warszawa, 1997.
  • [16] W. Moczulski. Methods of Knowledge Acquisition for the Needs of Machimery Diagnostics (in Polish). Vol. 130 of Mechanics. Silesian University of Technology, Gliwice, 1997. NE
  • [17] W. Moczulski. Inductive acquisition of diagnostic knowledge for complex structure of states tree (in Polish). In: 3rd National Conference „Diagnostic of Industrial Processes”, Jurata (Poland), 145-586, 1998.
  • [18] W. Moczulski. Methods of diagnostic knowledge acquisition concerning industrial turbine sets., In: 3rd National Conference on Acoustical ad Vibratory Surveillance Methods, Senlis (France), 145-154, 1998.
  • [19] W. Moczulski. Methodology of knowledge acquisition for machinery diagnostics. CAMES, 6(2): 163-175, 1999.
  • [20| W. Moczulski. Acquisition of declarative and procedural knowledge (in Polish). In: Symposium on Methods of Artificial Intelligence in Mechanics and Mechanical Engineering AI-MECH"2000, Proceedings of the Workshop on Applications Artificial Intelligence in Mechanics and Mech. Eng., Vol. 1 — Invited Papers, 55-73. Gliwice, 2000.
  • [21] W. Moczulski, P. Kostka. SPIE discovery challenge data description. http://www.polsl.gliwice .pl/~moczulsk/spie_challenge, 2000.
  • [22] W. Moczulski, P. Kostka, P. Maniak. Knowledge acquisition from results of simulation concerning a 200 MW turbine set (in Polish). Report DT6D390.01 on grant PBZ-038-06, Silesian University of Technology, Department of Fundamentals of Machinery Design, Gliwice, 1998.
  • [23] W. Moczulski, D. Wachla. Acquisition of diagnostic knowledge using discoveries in databases. In: V National Conference "Diagnostics of Industrial Processes” DPP'01, Łagów ska (Poland), 2001 (in print).
  • [24] W. Moczulski, J.M. Żytkow. Automated search for knowledge on machinery diagnostics In: M. Kłopotek, M. Michalewicz, Z. Raś eds., Intelligent Information Systems VI, Proceedings of the Workshop, Zakopane, 1997, 194-203, Warszawa, 1997.
  • [25] W. Moczulski, J.M. Żytkow. Discovery of diagnostic knowledge from multi-sensor data. In: AeroSense — SPIE's 15th International Symposium. on Aerospace/Defense Sensing, Simulation, and Controls, "Data Mining and Knowledge Discovery: Theory, Tools, and Technology III", Vol. 4384, 104-115. Proceedings of SPIE, Orlando. FL, 2001.
  • [26] Z. Pawlak. Rough Sets. Theoretical Aspects of Reasoning About Data. Kluwer Academic Publishers, 1991.
  • [27] J. Pokojski, ed. Intelligent support of the process of integration of an environment for computer-aided machine design (in Polish). WNT, Warszawa, 2000.
  • [28] J.R. Quinlan. Induction of decision trees. Machine Learning, 1: 81-106, 1986.
  • [29] JAR. Quinlan. C4.5 Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 1993.
  • [30] A. Skowron. A synthesis of decision rules: Applications of discernibility matrix properties. In: M. Dąbrowski, A M. Michalewicz, Z. Raś, eds., Intelligent Information Systems: Proceedings of the Conference "Practical Aspects of Artifcial Intelligence II”, Augustów (Poland), 30-46. Insitute of Computer Science, Polish Academy of Sciences, Warszawa, 1993.
  • [31] J. Wnek, K. Kaufman, E. Bloedorn, R.5. Michalski. Selective Induction Learning System AQ15c: The method and User’s Guide. Tech. rep., George Mason University, Center for Machine Learning and Inference, Fairfax, VA, 1995.
  • [32] M. Wyleżoł. Electronic form-editor for acquisition of empirical rules from experts tor the purpose of diagnostics. In: Intelligent Information Systems: Proceedings of the Workshop „Intelligent Information Systems — IIS 98”, Malbork (Poland), 231-234. Insitute of Computer Science, Polish Academy of Sciences, Warszawa, 1998.
  • [33] M. Wyleżoł. Methods of acquisition of diagnostic procedures and relationships from machinery exploitation domain experts (in Polish). Ph.D. thesis, Silesian University of Technology, Department of Fundamentals of Machinery Design, Gliwice, 2000.
  • [34] R. Zembowicz, J.M. Żytkow. From contingency tables to various forms of knowledge in databases. In: U. Fayyad, G. Piatetsky-Shapiro, P. Smyth R. Uthurusamy, eds., Advances in K nowledge Discovery and Data Mining, 329-349. AAAI Press, 1996.
  • [35] J.M. Żytkow, R. Zembowicz. Database exploration in search of regularities. Journal of Intelligent Information Systems, 2(1): 39-81, 1993. i
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB2-0006-0054
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