Study of a Condition Monitoring Method Based on the Concept of Complex Fuzzy Sets

Abstract

© 2024 IEEE.This paper presents an application of the Complex Fuzzy Set (CFS) concept to the adaptation of an automated condition monitoring method (CMM). It is founded on the previous work from Ramot, which introduced the core aspects of the CFS and defined a related technique for measuring the similarity between two signals. The technique is adapted to the important problem of predicting the health of a system or machine. Some analyses based on synthetic signals are performed to theoretically support main aspects of the method. Other results focus on the use of synthetic signals from a robot model to monitor robot joint degradation, showing the potential of the CMM for different industrial applications that could benefit from a soft online condition monitoring approach.

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