Abstract
In this paper an automatic method for the correlation dimension estimation was introduced, which can improve the precision and speed of the correlation dimension compared with traditional Grassberger and Procaccia algorithm. This improvement is carried out by choosing appropriates key parameter and optimization of calculation process. The effectiveness of this automatic method was tested by means of the calculation of well-know models as logistic attractor and Henon attractor. As a typical example, we applied above method to real vibration signals of fan bearing condition monitoring. Analysis result demonstrates the applicability of this method in distinguishing the bearing status with normal status, local fault and disturbing fault.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
