TITLE

Augmented-reality-based mechanical fault diagnosis method

AUTHOR(S)
Jing Honglei; Nie Jing; Zhang Nian
PUB. DATE
October 2014
SOURCE
Advanced Materials Research;2014, Issue 1044-1046, p720
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
With the rapid development of modern society, the industrial mechanized production reached unprecedented climax in this era. Science and technology advance increasingly, modern equipment from structure to function tends to be complex and improved, and gradually achieve a high degree of automation. However, due to the inevitable factors such as wear and tear, abrasion and chemicals infection, machinery equipment will inevitably appear unforeseen fault, causing the machine to detract from the performance, or even causing serious economic losses. Therefore, mechanical fault diagnosis can reduce equipment accident rate and ensure the long-term stable operation of the device. And applying the augmented reality to machinery fault diagnosis method research can maximize the efficiency of mechanical fault diagnosis and equipment efficiency. This article explores the prospects for the development of mechanical fault diagnosis methods based on the theoretical basis and application value of augmented reality.
ACCESSION #
98711612

 

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