Details
| Original language | English |
|---|---|
| Title of host publication | Automated Visual Inspection and Machine Vision II |
| Editors | Jurgen Beyerer, Fernando Puente Leon |
| Publisher | SPIE |
| Number of pages | 7 |
| ISBN (electronic) | 9781510611139 |
| Publication status | Published - 26 Jun 2017 |
| Event | Automated Visual Inspection and Machine Vision II - Munich, Germany Duration: 29 Jun 2017 → … |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Volume | 10334 |
| ISSN (Print) | 0277-786X |
| ISSN (electronic) | 1996-756X |
Abstract
Unstable movement in roller bearings like cage or roller slip can lead to damages or eventually even to an early break of the bearing. To prevent slip, inadequate operating states should be avoided. Therefore, it is necessary to study the dynamic behavior of the bearing. Unfortunately, there is only a limited range of measurement methods for the dynamic of bearing components. Two possible approaches are using solely a high-speed camera or the combination of an optomechanical image derotator and a high-speed camera. This work focuses on a proposal which is suitable for both. Initially, the influence of the rotational velocity in the images is eliminated. In the next step the measurement data is reduced to a region of interest which displays a particular rolling-element. A rolling element is equipped with a linear marker which, in the next stage, is segmented by a thresholding method to multiple regions. The region representing the marker is extracted from the background and the position is calculated by a Principle Component Analysis. Depending on the shift of the angular position and the lag time between two images, the rotational velocity of the rolling element is calculated. Thus, it is possible to determine whether the rolling element is operating under ideal conditions. In conclusion, it can be said that this approach enables a simple and flexible non-invasive method to depict the occurrence of roller slip in roller bearings.
Keywords
- Dynamic behavior analysis, Image derotator, Image processing, Roller bearings, Roller slip
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Automated Visual Inspection and Machine Vision II. ed. / Jurgen Beyerer; Fernando Puente Leon. SPIE, 2017. 103340A (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10334).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Digital image processing algorithms for automated inspection of dynamic effects in roller bearings
AU - Altmann, Bettina
AU - Pape, Christian
AU - Reithmeier, Eduard
PY - 2017/6/26
Y1 - 2017/6/26
N2 - Unstable movement in roller bearings like cage or roller slip can lead to damages or eventually even to an early break of the bearing. To prevent slip, inadequate operating states should be avoided. Therefore, it is necessary to study the dynamic behavior of the bearing. Unfortunately, there is only a limited range of measurement methods for the dynamic of bearing components. Two possible approaches are using solely a high-speed camera or the combination of an optomechanical image derotator and a high-speed camera. This work focuses on a proposal which is suitable for both. Initially, the influence of the rotational velocity in the images is eliminated. In the next step the measurement data is reduced to a region of interest which displays a particular rolling-element. A rolling element is equipped with a linear marker which, in the next stage, is segmented by a thresholding method to multiple regions. The region representing the marker is extracted from the background and the position is calculated by a Principle Component Analysis. Depending on the shift of the angular position and the lag time between two images, the rotational velocity of the rolling element is calculated. Thus, it is possible to determine whether the rolling element is operating under ideal conditions. In conclusion, it can be said that this approach enables a simple and flexible non-invasive method to depict the occurrence of roller slip in roller bearings.
AB - Unstable movement in roller bearings like cage or roller slip can lead to damages or eventually even to an early break of the bearing. To prevent slip, inadequate operating states should be avoided. Therefore, it is necessary to study the dynamic behavior of the bearing. Unfortunately, there is only a limited range of measurement methods for the dynamic of bearing components. Two possible approaches are using solely a high-speed camera or the combination of an optomechanical image derotator and a high-speed camera. This work focuses on a proposal which is suitable for both. Initially, the influence of the rotational velocity in the images is eliminated. In the next step the measurement data is reduced to a region of interest which displays a particular rolling-element. A rolling element is equipped with a linear marker which, in the next stage, is segmented by a thresholding method to multiple regions. The region representing the marker is extracted from the background and the position is calculated by a Principle Component Analysis. Depending on the shift of the angular position and the lag time between two images, the rotational velocity of the rolling element is calculated. Thus, it is possible to determine whether the rolling element is operating under ideal conditions. In conclusion, it can be said that this approach enables a simple and flexible non-invasive method to depict the occurrence of roller slip in roller bearings.
KW - Dynamic behavior analysis
KW - Image derotator
KW - Image processing
KW - Roller bearings
KW - Roller slip
UR - http://www.scopus.com/inward/record.url?scp=85029626602&partnerID=8YFLogxK
U2 - 10.1117/12.2269065
DO - 10.1117/12.2269065
M3 - Conference contribution
AN - SCOPUS:85029626602
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Automated Visual Inspection and Machine Vision II
A2 - Beyerer, Jurgen
A2 - Leon, Fernando Puente
PB - SPIE
T2 - Automated Visual Inspection and Machine Vision II
Y2 - 29 June 2017
ER -