Residual Analysis in Generalized Function-on-Scalar Regression for an HVOF Spraying Process-Reference-Cited by-同舟云学术

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Residual Analysis in Generalized Function-on-Scalar Regression for an HVOF Spraying Process

Published:2016-06-16 Issue:6 Volume:32 Page:2139-2150
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Kuhnt Sonja¹,Rehage André²,Becker-Emden Christina²,Tillmann Wolfgang³,Hussong Birger³

Affiliation:

1. Department of Computer Science; Dortmund University of Applied Sciences and Arts; Dortmund 44227 Germany

2. Faculty of Statistics; TU Dortmund University; 44221 Dortmund Germany

3. Faculty of Mechanical Engineering; TU Dortmund University; Dortmund 44221 Germany

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Reference20 articles.

1. On different strategies for the prediction of coating properties in a HVOF process;Rudak;SFB 823 Discussion Paper,2012

2. 2nd ed.;Ramsay,2005

3. Springer series in statistics;Ferraty,2006

4. Springer series in statistics;Horváth,2012

5. Generalized multilevel function-on-scalar regression and principal component analysis;Goldsmith;Biometrics,2015

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Function-on-Function Regression Model for Monitoring the Manufacturing Process Performance with Application in Friction Stir Welding;Physical Mesomechanics;2024-08

2. Predictive modelling of critical variables for improving HVOF coating using gamma regression models;Journal of Mathematics in Industry;2024-06-20

3. Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques;Procedia Computer Science;2024

4. Statistical Comparison of Processing Different Powder Feedstock in an HVOF Thermal Spray Process;Journal of Thermal Spray Technology;2022-04-12

5. The ENBIS-15 Quality and Reliability Engineering International Special Issue;Quality and Reliability Engineering International;2016-06-30

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