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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haifang Yu Dejiang Zhang Niaona Zhang |
| Copyright Year | 2012 |
| Abstract | In order to improve the quality management and trace ability of automotive airbag products, and to provide data support for processing innovation and improvement, a retrospective strategy of airbag quality was proposed in this paper. It uses multi-sensors as its hardware platform, the fault diagnosis technology based on multi-sensor data fusion as a support, large-scale databases as a tool. It can provide each production's historical data of assembly quality in every aspect of process. Based on the trace ability system, on the one hand fault recording and statistical analysis are achieved, on the other hand the products with quality defects can be automated queried through the sole bar code, which facilitates the recall and rework of similar products. |
| Starting Page | 269 |
| Ending Page | 271 |
| File Size | 214581 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781467304702 |
| DOI | 10.1109/ICICTA.2012.74 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Production Maintenance engineering Quality Traceability Educational institutions Quality Management Encoding Safety Automotive Airbag Assembly Bar Code |
| Content Type | Text |
| Resource Type | Article |
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