Mechanical Parts Defect Detection Method Based on Blind Source Separation Algorithm

Jing Nie; Hong Lei Jing; Nian Zhang

doi:10.4028/www.scientific.net/AMR.1044-1045.805

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Minimal Control Synthesis-Skyhook Mixed Control for Magneto-Rheological Semi-Active Suspension
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Mechanical Parts Defect Detection Method Based on...

Mechanical Parts Defect Detection Method Based on Blind Source Separation Algorithm

Abstract:

A blind source separation technique is widely used in voice, video, communications, medical, mechanical failure signal processing, and data mining, and many other fields. Such a broad application prospects, making the blind signal separation problems on continuously were widespread concern experts and scholars at home and abroad. This paper describes the meaning of blind source separation techniques, a detailed description of the application of this technique to detect defects in terms of mechanical parts, due to the blind source separation algorithm is a regular in the development of the theory, and how to better integrate its application in the field of diagnosis defective parts, will be an important issue in the future is worth further exploration.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

805-807

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.805

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Online since:

October 2014

Authors:

Jing Nie*, Hong Lei Jing, Nian Zhang

Keywords:

Blind Source Separation, Machine Parts, Testing

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* - Corresponding Author

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