Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models

@article{Zhou2003DiagnosabilitySO,
  title={Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models},
  author={Shiyu Zhou and Yu Ding and Yong Chen and Jianjun Shi},
  journal={Technometrics},
  year={2003},
  volume={45},
  pages={312-325}
}
Automatic in-process data collection techniques have been widely used in complicated manufacturing processes in recent years. The huge amounts of product measurement data have created great opportunities for process monitoring and diagnosis. Given such product quality measurements, this article examines the diagnosability of the process faults in a multistage manufacturing process using a linear mixed-effects model. Fault diagnosability is defined in a general way that does not depend on… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 42 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 19 references

Estimation of Variance Components and Applications, Amsterdam: North-Holland

C. R. Rao, J. Kleffe
1988
View 13 Excerpts
Highly Influenced

Matrix Analysis for Statistics, New York: Wiley

J. R. Schott
1997
View 4 Excerpts
Highly Influenced

Principles of Process Planning: A Logical Approach

G. Halevi, R. D. Weill
1995
View 4 Excerpts
Highly Influenced

Linear State Space Modeling of Dimensional Machining Errors,

D. Djurdjanovic, J. Ni
Transactions of NAMRI/SME, • 2001
View 4 Excerpts
Highly Influenced

Linear Algebra and Its Applications (2nd ed.), New York: Addison-Wesley

D. C. Lay
1997
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…