Advanced time average holographic method for measurement in extensive vibration amplitude range with quantitative single-pixel analysis

2015 ◽  
Author(s):  
Pavel Psota ◽  
Vít Lédl ◽  
Petr Vojtíšek ◽  
Jan Václavík ◽  
Roman Doleček ◽  
...  
Keyword(s):  
Vibration Amplitude ◽  
Holographic Method ◽  
Pixel Analysis ◽  
Time Average ◽  
Single Pixel

scholarly journals Vibration Analysis of Membrane by Time Average In-Line Digital Holographic Interferometry

2006 ◽  
Vol 326-328 ◽  
pp. 23-26
Author(s):  
Vijay Raj Singh ◽  
Anand Krishna Asundi
Keyword(s):  
Mode Shape ◽  
Holographic Interferometry ◽  
Vibration Analysis ◽  
Average Method ◽  
Vibration Amplitude ◽  
Digital Holography ◽  
Experimental Results ◽  
Time Average ◽  
Reconstructed Wave

In this paper, in-line digital holography is combined with time average method and applied for vibration analysis of an aluminum membrane. The numerically reconstructed wave from time average holograms contains information of mode shape and mean deformation of the vibrating objects. At lower amplitudes of vibration only the deformation fringes are observed and as the amplitude is increases, the Bessel fringes representing the time average vibration amplitude also become visible. Experimental results for a 10mm size membrane are presented.

Improved holographic method for vibration amplitude measurement from nano to microscale

2014 ◽  
Author(s):  
Pavel Psota ◽  
Vít Lédl ◽  
Roman Doleček ◽  
Jan Václavík ◽  
Václav Kopecký
Keyword(s):  
Vibration Amplitude ◽  
Holographic Method ◽  
Amplitude Measurement

Vibration Amplitude Distribution Measurement Using Phase of Recontructed Wave in Time-average Digital Holography

2010 ◽  
Vol 39 (3) ◽  
pp. 523-528 ◽  
Author(s):  
钱晓凡 QIAN Xiao-fan ◽  
王占亮 WANG Zhan-liang ◽  
张海涛 ZHANG Hai-tao ◽  
陈虹 CHEN Hong
Keyword(s):  
Vibration Amplitude ◽  
Digital Holography ◽  
Amplitude Distribution ◽  
Distribution Measurement ◽  
Time Average

Breakthrough on Routine Service Cycle Time Improvement – Leap Frog Concept, Duri Field, Indonesia

2020 ◽  
Author(s):  
R. Irawan
Keyword(s):  
Cycle Time ◽  
Critical Path ◽  
Well Control ◽  
Routine Service ◽  
New Process ◽  
Work Concept ◽  
Preparation Step ◽  
One Step ◽  
Time Average ◽  
Moving Process

Leap frog concept was created to address the loss of single joint rig agility and drive the cycle time average lower than ever. The idea is to move the preparation step into a background activity that includes moving the equipment, killing the well, dismantling the wellhead and installing the well control equipment/BOP before the rig came in. To realize the idea, a second set of equipment is provided along with the manpower. By moving the preparation step, the goal is to eliminate a 50% portion of the job from the critical path. The practice is currently performed in tubing pump wells on land operations. However, the work concept could be implemented for other type of wells, especially ESP wells. After implementation, the cycle time average went down from 18 hours to 11 hours per job, or down by ~40%. The toolpusher also reports more focused operations due to reduced scope and less crew to work with, making the leap frog operation safer and more reliable. Splitting the routine services into 2 parts not only shortened the process but it also reduces noise that usually appear in the preparation process. The team are rarely seen waiting on moving support problems that were usually seen in the conventional process. Having the new process implemented, the team had successfully not only lowered cycle time, but also eliminated several problems in one step. Other benefits from leap frog implementation is adding rig count virtually to the actual physical rig available on location, and also adding rig capacity and completing more jobs compared to the conventional rig. In other parts, leap frog faced some limitation and challenges, such as: limited equipment capability for leap frog remote team to work on stuck plunger, thus hindering its leap frog capability, and working in un-restricted/un-clustered area which disturb the moving process and operation safety.

Multiresolution Bio-Medical Image Segmentation using Fuzzy C-Means Clustering

2019 ◽  
Vol 8 (4) ◽  
pp. 9548-9551
Keyword(s):  
Image Segmentation ◽  
Medical Image Segmentation ◽  
Experimental Result ◽  
Segmentation Method ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Robust Image ◽  
Multiple Clusters ◽  
Single Pixel ◽  
Popular Image

Fuzzy c-means clustering is a popular image segmentation technique, in which a single pixel belongs to multiple clusters, with varying degree of membership. The main drawback of this method is it sensitive to noise. This method can be improved by incorporating multiresolution stationary wavelet analysis. In this paper we develop a robust image segmentation method using Fuzzy c-means clustering and wavelet transform. The experimental result shows that the proposed method is more accurate than the Fuzzy c-means clustering.

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