Research on Fault Diagnosis Theory and Key Technology for Power Machinery

Hong Zhang; Shou Sheng Zhang; Jun Jie Wang

doi:10.4028/www.scientific.net/AMM.427-429.312

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Research on Fault Diagnosis Theory and Key...

Research on Fault Diagnosis Theory and Key Technology for Power Machinery

Abstract:

Based on the disadvantages of the original LMD algorithm in terms of smoothing method and end effect, this paper puts forward to a method of diagnosis of rotor system faults based on the improved LMD and singular value decomposition. The PF component obtained after applying the improved LMD method is able to separate the aliasing modes while maintaining the natures and features of the original PF component. Thus, the systems real information can be grasped more effectively. According to the experimental analysis, this method can be applied to diagnosis of rotor system faults effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

312-315

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.312

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Online since:

September 2013

Authors:

Hong Zhang*, Shou Sheng Zhang, Jun Jie Wang

Keywords:

Fault Diagnosis, LMD Method, Power Machinery, Singular Value Decomposition

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* - Corresponding Author

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