Bearing defect inspection based on machine vision

Shen, Hao; Li, Shuxiao; D, Gu; Chang, Hongxing

doi:10.1016/j.measurement.2011.12.018

Cited by 128 publications

(58 citation statements)

References 21 publications

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“…They filtered out the infrared radiation interference to the image information obtained with a charge-coupled device camera through a low-pass filter. In addition, Shen et al designed a new illuminated image recognition system [10]. There are three bearings in an image, and the bearings on the left and right were used to detect the distortion defect, whereas the bearing in the middle was used to detect other defects near the deformation point.…”

Section: The Relevant Visual Attention Algorithmsmentioning

confidence: 99%

A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives

Shi

Zhang

2018

Mathematical Problems in Engineering

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This paper is a novel study on crack detection of industrial explosives. The proposed algorithm consists of the following steps:(1) image preprocessing was performed according to the defect features of industrial explosives cartridge, and we developed an improved visual attention based algorithm. This proposed algorithm features a parametric analysis that can be implemented on the image according to the conspicuous maps with the introduction of the concept of defect discrimination ; (2) as compared with other algorithms, our method can realize real-time multitarget detection function; (3) a new analysis method, the IPV-WEN algorithm, was proposed to analyze the cartridge defects based on performance indices. Through comparison and experimentation, it was revealed that this method can achieve a detection accuracy of 97.9%, with detection time of 34.51 ms, which satisfied the requirement in the industrial explosives production.

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Section: The Relevant Visual Attention Algorithmsmentioning

confidence: 99%

A Multitarget Visual Attention Based Algorithm on Crack Detection of Industrial Explosives

Shi

Zhang

2018

Mathematical Problems in Engineering

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“…2 ) can be minimized by the least squares fitting of circles [9,10]. Thus by deriving equation S in function of a, b and R and equaling zero the following relationships are obtained:…”

Section: Fig 3 Deviation From Circularitymentioning

confidence: 99%

Study on Inspection of Circular Parts Used in Mechatronics

2017

IJOMAM

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Abstract. Classical methods for the inspection on a production line of circular profiles are characterized by a reduced flexibility, making them extremely expensive. This work provides a study on vision systems used for determining deviation from circularity of components used in mechatronics. The paper present a vision system that analyzes and processes the captured image of circular parts in an automatic mode in order to undertake the dimensional inspection. The proposed system has been tested for MR522ZEZO class miniature bearings. The inner diameter of MR522ZEZO bearing is 2 mm, which makes it unavailable for dimensional control by conventional methods. Experimental results show that the proposed system is able to perform an accurate dimensional control in automatic mode while ensuring high flexibility for distinct types and sizes of mechatronic components with circular profiles.

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“…Machine vision has made great progresses in the past few decades [8]. A lot of industrial activities have benefited from the application of industrial vision inspection system.…”

Section: Introductionmentioning

confidence: 99%