Notice of RetractionDiagnosis method for connection-related faults in motion system based on SVM

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.

In order to arising the safety and reliability, and monitoring the working states of numerical control system, aiming at the multi-kinds of potential connection-related faults, the construction and the principle of the system were analyzed, and the systemic diagnosis framework was developed. Using the position signal and the torque monitoring one, the parameters of support vector machine were trained where the Gaussian function was employed as nonlinear kernel. The mentioned faults were diagnosed benefiting from the decision function where the parameters were from the trained results. Above method was applied to an X-Y motion platform where data acquisitions, training of support vector machine and fault diagnosis were carried out. The results validate the feasibility of the SVM method.