DocumentCode
518389
Title
Notice of Retraction
Cyclostationarity and CHMM based bearing fault diagnosis approach in start-up process
Author
Bin Wu ; Minjie Wang ; Yuegang Luo
Author_Institution
Sch. of Mech. Eng., Dalian Univ. of Technol., Dalian, China
Volume
5
fYear
2010
fDate
16-18 April 2010
Abstract
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.
The resonance demodulation method can acquire the fault characteristic frequency of rolling element bearings, and then complete the accurate fault diagnosis of bearings. However, when rotating speed changes, due to the existence of effect of elastic hydrodynamic lubrication, the natural frequency and amplitude of bearing system will change with the speed changing, and the characteristic frequency no longer exists. This article discusses the order of nature of which the speed affect to the inherent frequency and the amplitude, establishes a fault vibration signal model of bearing in start-up process, extracts the fault feature signal by means of cyclic autocorrelation function, and then constructs AR coefficient characteristic vectors for CHMM model. Depending on the dynamics identifying ability of CHMM, we propose an effective fault diagnosis method, and it gets satisfactory results in the experiment.
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.
The resonance demodulation method can acquire the fault characteristic frequency of rolling element bearings, and then complete the accurate fault diagnosis of bearings. However, when rotating speed changes, due to the existence of effect of elastic hydrodynamic lubrication, the natural frequency and amplitude of bearing system will change with the speed changing, and the characteristic frequency no longer exists. This article discusses the order of nature of which the speed affect to the inherent frequency and the amplitude, establishes a fault vibration signal model of bearing in start-up process, extracts the fault feature signal by means of cyclic autocorrelation function, and then constructs AR coefficient characteristic vectors for CHMM model. Depending on the dynamics identifying ability of CHMM, we propose an effective fault diagnosis method, and it gets satisfactory results in the experiment.
Keywords
acoustic signal processing; demodulation; elastodynamics; fault diagnosis; hydrodynamics; lubrication; resonance; rolling bearings; vibrations; CHMM based bearing fault diagnosis; cyclostationarity; elastic hydrodynamic lubrication; fault vibration signal model; resonance demodulation method; rolling element bearings; start-up process; Autocorrelation; Demodulation; Fault diagnosis; Feature extraction; Frequency; Hydrodynamics; Lubrication; Resonance; Rolling bearings; Signal processing; bearing start-up process; cyclostationariy and CHMM; fauty diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5486117
Filename
5486117
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