The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition
Abstract
In this paper, a fault diagnostic method is proposed for autobody assembly fixtures. This method uses measurement data to detect and isolate dimensional faults of part caused by fixture. The proposed method includes a predetermined variation pattern model and a fault mapping procedure. The variation pattern model is based on CAD information about the fixture geometry and location of the measurement points. This fault mapping procedure combines Principal Component Analysis with pattern recognition approach. Simulations and one case study illustrate the proposed method.
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Cites
Simulation and the Monte Carlo Method
Rubinstein, R. Y., & Kroese, D. P. (2016) · Wiley Series in Probability and Statistics · doi:10.1002/9781118631980 · Cited by 3,356
Cited by
Maintenance: Changing Role in Life Cycle Management
Takata, S., Kirnura, F., van Houten, F. J. A. M., Westkamper, E., Shpitalni, M., Ceglarek, D., & Lee, J. (2004) · CIRP Annals · doi:10.1016/s0007-8506(07)60033-x · Cited by 388
Self-citationQuality control and improvement for multistage systems: A survey
Shi, J., & Zhou, S. (2009) · IIE Transactions · doi:10.1080/07408170902966344 · Cited by 263
Self-citationSPECIES—Co-evolution of products, processes and production systems
Tolio, T., Ceglarek, D., ElMaraghy, H. A., Fischer, A., Hu, S. J., Laperrière, L., Newman, S. T., & Váncza, J. (2010) · CIRP Annals · doi:10.1016/j.cirp.2010.05.008 · Cited by 254
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Metadata
- Authors
- Ceglarek, D., & Shi, J.
- Venue
- Journal of Engineering for Industry
- Publisher
- ASME International
- Published
- 1996-02-01
- Volume
- 118
- Issue
- 1
- Pages
- 55-66
- ISSN
- 0022-0817 (ISSN-L)
- OpenAlex
- W2043510650
- Cited by
- 223
- References
- 1
- FWCI
- 29.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ceglarek, D., & Shi, J. (1996). Fixture Failure Diagnosis for Autobody Assembly Using Pattern Recognition. Journal of Engineering for Industry. https://doi.org/10.1115/1.2803648
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
