FAULT DETECTION AND DIAGNOSIS IN INDUSTRIAL SYSTEMS, BASED ON FUZZY LOGIC – A SHORT REVIEW
Keywords:
process monitoring, fuzzy logic, fault detection, diagnosisAbstract
The paper presents a fuzzy method in fault detection and
diagnosis. This method provides a systematic framework to
process vague variables and vague knowledge. The supervision
of the process requires the treatment of quantitative and
qualitative knowledge. Here fuzzy logic approaches are
especially attractive for symptom generation with fuzzy
thresholds, linguistically described observed symptoms and the
approximate reasoning with multi levele fuzzy rule based systems
for fault symptom tree structures.
References
[Bea94] Beale, M. - Neural Network Toolbox for Matlab,
MathWorks, Inc., 1994.
[Cha97] Chang, C.S.; Chen, J.M.; Liew, A.C.; Srinivasan, D.;
Wen, F.S. – Fuzzy Expert System for Fault Diagnosis in Power
Systems, Int. Journal of Engineering Intelligent Systems for
Electrical Engineering & Communications, 1997.
[Che92] Chekoway, C.; Kirk, K.; Sullivan, D. - Simulink User's
Guide, Mathworks, Inc., 1992.
[Chi01] Chiang, L.H.; Russell, E.L; Braatz, R.D. – Fault
Detection and Diagnosis in Industrial Systems, Springer,
London, 2001.
[Har94] Harashima, F. - Power Electronics and Motion Control-
A Future Perspective, Proceedings of the IEEE, Nr. 8, 1994.
[Hua98] Huallpa, B.N.; Nobrega, E.; Zuben, F.J.V. – Fault
Detection in Dynamic Systems Based on Fuzzy Diagnosis, Proc.
of the IEEE Int. Conf. On Fuzzy Systems, Piscataway, N.J., 1998.
[Ise95] Iserman, R. – On Fuzzy Logic Applications for
Automatic Control, Supervision and Fault Diagnosis, The
Proceedings of EUFIT’95, Aachen, 1995.
[Lot93] Lotfi, A. - Fuzzy Inference Systems Toolbox for Matlab,
MathWorks, Inc., 1993.
[Vol99] Voloô€ƒºencu, C. – Consideraô€„ ii privind utilizarea reô€„ elelor
neuronale în identificarea sistemelor neliniare, Revista Român􀄃
de Informatic􀄃 􀃺i Automatic􀄃, Vol. 9, nr. 3, 1999.
[Vol2’0/1] Volo􀃺encu, C. – Bibliotec􀄃 de programe pentru
sisteme fuzzy, Conf. de informatic􀄃 teoretic􀄃 􀃺i tehnologii
informaô€„ ionale CITTI’2000, Constanô€„ a, 2000.
[Vol2’0/2] Voloô€ƒºencu, C. - Bibliotecô€„ƒ de programe pentru reô€„ ele
neuronale, Analele Universitô€„ƒô€„ ii "Aurel Vlaicu" din Arad, 2000.
[Zim91] Zimmermann, H.J. – Fuzzy Set Theory and Its
Applications, Kluwer Academic Publishers, Boston, 1991.
