Statistical modal analysis for variation characterization and application in manufacturing quality control

2014 ◽  
Vol 46 (5) ◽  
pp. 497-511 ◽  
Author(s):  
Wenzhen Huang ◽  
Jinya Liu ◽  
Vijya Chalivendra ◽  
Darek Ceglarek ◽  
Zhenyu Kong ◽  
...  
JOM ◽  
2022 ◽  
Author(s):  
Daniel Rodrigues ◽  
Donald Picard ◽  
Carl Duchesne ◽  
Julien Lauzon-Gauthier

2015 ◽  
Vol 11 (4) ◽  
pp. 507-516 ◽  
Author(s):  
Mariusz Zóltowski ◽  
Ronald M. Martinod

Purpose – The recommendation of structural standards, e.g. PN-B-03002, shows a need to control the production quality of wall-elements; the quality control demands suitable guidelines to fit the requirements of the current mass-production of the wall-elements, then, the structural standard recognizes the need of improving the methods to identify the real elements quality. The paper aims to discuss these issues. Design/methodology/approach – The proposed inspection methodology corresponds to assessment models that combine the numerical and symptomatic models to evaluate the critical levels of wall-elements, based on non-intrusive tests through the measurement of a set of signals, using the Experimental Modal Analysis (EMA)-based techniques. Findings – The presented work is developed with an approach that applies advanced calculating techniques used for the structural analysis in civil engineering focused on the technical state assessment. Originality/value – The paper proposes a diagnostic methodology that can be added to the current regulations and standards based on EMA techniques.


2017 ◽  
Vol 59 ◽  
pp. 77-87 ◽  
Author(s):  
Tea Tušar ◽  
Klemen Gantar ◽  
Valentin Koblar ◽  
Bernard Ženko ◽  
Bogdan Filipič

MRS Bulletin ◽  
1992 ◽  
Vol 17 (4) ◽  
pp. 50-52
Author(s):  
Manoj K. Choudhary

The terms “teamwork” and “statistical quality control” (SQC) have become an established part of U.S. manufacturing vocabulary, though not necessarily of manufacturing practice. Much has been written on these subjects, as even a cursory glance at the literature reveals (e.g., see References 1–11). This article will describe the organization and functioning of an SQC team at Owens-Corning Fiberglas Corporation. My observations are not necessarily novel, but I hope they provide some useful insights into team building, teamwork, and SQC in a U.S. manufacturing environment.SQC is not a new concept at all, but it was largely ignored in the United States. The contribution of SQC (more accurately, Deming's and Juran's SQC precepts) to Japanese manufacturing quality has by now become a matter of folklore. This does not mean, however, that the SQC “philosophy” is correctly understood by U.S. companies. SQC is often viewed too narrowly as a production tool, or S and C in SQC are given undue attention. SQC is much more than a collection of statistical techniques. Indeed, the major impact of SQC results not from its engineering or technical attributes but from the changes it brings about in attitudes and in a factory's social organization. Drucker has identified SQC as one of the four concepts in the emerging theory of manufacturing.


2016 ◽  
Vol 17 (1) ◽  
pp. 26-33
Author(s):  
Arnab Adhikari ◽  
Indranil Biswas ◽  
Arnab Bisi

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