Visual Inspection Methods for Quality Control in Automotive Engineering

Author(s):  
H. Hagen ◽  
A. Disch ◽  
J. Ehret ◽  
R. Klein ◽  
S. Kohn ◽  
...  
Author(s):  
Nisrine Makhoul

<p>Nahr Al-Fidar Bridge is in Fidar village, which is located near Byblos City, Lebanon. The bridge reconstruction was carried out swiftly during 2006-2007, due to its importance as a vital commercial artery. Indeed, no traffic disruption is allowed on the bridge, since it leads to great economic losses. At the time being, even though the bridge has only accomplished about 10 years of its service life, it is being overloaded.</p><p>The paper aims to assess the performance of Nahr Al-Fidar bridge. To that purpose, first, the case bridge is introduced, and a visual inspection took place to identify current the state of the bridge. Second, the performance indicators are evaluated for this bridge, by means of the visual assessment, and the key performance indicators are assessed. The aim is to check if the bridge meets the pre-specified performance goals. Finally, a quality control plan is implemented for Nahr Al-Fidar bridge.</p>


2018 ◽  
Vol 760 ◽  
pp. 278-285
Author(s):  
Stanislav Řeháček ◽  
David Čítek ◽  
Jiří Kolísko

This paper is introducing results of diagnostic survey of bridge reg. No. 333-003 over the Elbe in Přelouč [1], which included an evaluation of the previous reconstruction carried out in the 1990s [2, 3] and the quality control of the concrete used in the construction after more than 90 years of operation. Visual inspection, comparison of depth of concrete carbonation and thickness of top layer of reinforcement concrete and concrete compression strength are presented in this paper. This paper come into existence with cooperation with the state-funded organization Road Administration and Maintenance of the Pardubice Region.


2018 ◽  
Vol 183 ◽  
pp. 03006 ◽  
Author(s):  
Krzysztof Knop ◽  
Krzysztof Mielczarek

The article presents a case study on the use of specially prepared 5W-1H and 4M sheets for the analysis of the problem during the visual inspection process of the electric device, in order to solve it. The identified problem was related to inconsistent assessments during the visual (alternative) inspection of chamber gaps of the electric switch. The research methodology was presented the same as results confirming the effectiveness of the problem analysis in the area of quality control by using these two methods of Lean and WCM concepts. The article aimed to show that a skilful and pragmatic approach to the problem supported by appropriate tools can contribute to its effective solution.


1996 ◽  
Author(s):  
Mark R. DeYong ◽  
Thomas C. Eskridge ◽  
John W. Grace ◽  
Jeff E. Newberry ◽  
J. H. Jones ◽  
...  

Author(s):  
Pradeep Reddy Raamana ◽  
Athena Theyers ◽  
Tharushan Selliah ◽  
Piali Bhati ◽  
Stephen R. Arnott ◽  
...  

AbstractQuality control of morphometric neuroimaging data is essential to improve reproducibility. Owing to the complexity of neuroimaging data and subsequently the interpretation of their results, visual inspection by trained raters is the most reliable way to perform quality control. Here, we present a protocol for visual quality control of the anatomical accuracy of FreeSurfer parcellations, based on an easy to use open source tool called VisualQC. We comprehensively evaluate its utility in terms of error detection rate and inter-rater reliability on two large multi-site datasets, and discuss site differences in error patterns. This evaluation shows that VisualQC is a practically viable protocol for community adoption.


2021 ◽  
Vol 8 ◽  
Author(s):  
Tanya L. Maurer ◽  
Joshua N. Plant ◽  
Kenneth S. Johnson

The Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) project has deployed 194 profiling floats equipped with biogeochemical (BGC) sensors, making it one of the largest contributors to global BGC-Argo. Post-deployment quality control (QC) of float-based oxygen, nitrate, and pH data is a crucial step in the processing and dissemination of such data, as in situ chemical sensors remain in early stages of development. In situ calibration of chemical sensors on profiling floats using atmospheric reanalysis and empirical algorithms can bring accuracy to within 3 μmol O2 kg–1, 0.5 μmol NO3– kg–1, and 0.007 pH units. Routine QC efforts utilizing these methods can be conducted manually through visual inspection of data to assess sensor drifts and offsets, but more automated processes are preferred to support the growing number of BGC floats and reduce subjectivity among delayed-mode operators. Here we present a methodology and accompanying software designed to easily visualize float data against select reference datasets and assess QC adjustments within a quantitative framework. The software is intended for global use and has been used successfully in the post-deployment calibration and QC of over 250 BGC floats, including all floats within the SOCCOM array. Results from validation of the proposed methodology are also presented which help to verify the quality of the data adjustments through time.


1987 ◽  
Vol 31 (9) ◽  
pp. 1009-1013
Author(s):  
Michael L. Matthews

In a simulation of industrial quality control inspection, performance was tracked over a period of three months using target conditions which had previously been shown to produce performance decrements with multiple flaws. Feedback on performance was supplied to inspectors at the end of each day's work. Results showed that by the end of the period, multiple fault inspection performance was equal to or slightly better, in both accuracy and latency, than previous data obtained with single fault conditions. This finding raises concerns over previous studies which have attempted to address the issue of the supposed performance decrement associated with increasing the size of the target set.


Sign in / Sign up

Export Citation Format

Share Document