Notice of RetractionFaulty diagnosis of rolling bearing based on wavelet analysis and chaos

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Contrary to non-stationary vibration signal of rolling Bearing fault, an analysis method of the combination of wavelet analysis and chaos is proposed. In this method, wavelet analysis is first adopted to conduct denoising preprocessing to the signals analyzed, the fault information components of the bearing are detected out effectively, and then by calculating chaotic characteristics such as the correlation dimension of rolling bearing vibration time series, motion state features of equipment are extracted and detailed analysis is carried out. The results show that: this method can realize fault diagnosis of rolling bearing, thus provide a new approach to fault diagnosis of rotating machinery.