Machine-Learning-Based Mechanical Fault Diagnosis Method

Hong Zhu

doi:10.4028/www.scientific.net/AMR.1044-1045.798

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1044-1045Machine-Learning-Based Mechanical Fault Diagnosis...

Machine-Learning-Based Mechanical Fault Diagnosis Method

Abstract:

With the development of science and technology, the theoretical content of mechanical fault diagnosis technology has been initially improved and established a scientific research system. Combining the mechanical diagnostic techniques with the current advanced science and technology, a variety of mechanical fault diagnosis methods have been researched and developed. Mechanical fault diagnosis evolved from empirical diagnosis to mechanical diagnosis and then to the current intelligent learning diagnosis. Now mechanical fault diagnosis collects mechanical failure data precisely mainly by a variety of sensors, uses a variety of fault diagnosis model to conduct diversified and intelligent diagnosis.

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Periodical:

Advanced Materials Research (Volumes 1044-1045)

Pages:

798-800

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1044-1045.798

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Online since:

October 2014

Authors:

Hong Zhu*

Keywords:

Diagnosis, Machine Learning, Mechanical Fault

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* - Corresponding Author

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