Notice of RetractionOil Film Instability Fault Diagnosis Using Hilbert Huang Transform

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.

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The Hilbert-Huang Transform (HHT) consists of the following steps: First, decomposition of time sequenced data by empirical modes (EMD), followed by a Hilbert transform to obtain a new method of spectrum treatment. The theory and algorithm of the HHT is explained and an experiment of oil film instability (oil whirl and oil whip) simulated on rotor kit, the full process of oil whirl occurrence, development and oil whip recorded through the rotor run-up test. HHT applied in analysis of oil film instability signal. The experiment results show that the whirl frequency is raised following rotating speed, but the exactly ratio of the two frequency is not fixed in different speed; The half frequency component appearance is the main characteristic of oil whirl, it should be constant, same with the critical speed, when oil whip occurred. The fundamental frequency component is frequency modulated throughout the oil film instability process, and frequency modulation phenomenon appears in half-frequency component when oil whip occurres under some certain speed. Compare to traditional methods, HHT method can represent the characteristics of oil film instability signal more accurately and detect the oil whirl fault earlier.