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| Author: | Cheng, C. S. |
| Title: | A neural network approach for the analysis of control chart patterns |
| Journal: | International Journal of Production Research
1997 : MAR, VOL. 35:3, p. 667-697 |
| Index terms: | |
| Freeterms: | STATISTISCHE QUALITÄTSKONTROLLE |
| Language: | eng |
| Abstract: | Control chart pattern recognition is an important aspect of statistical process control (SPC). The presence of unnatural patterns indicates that a process is affected by assignable causes, and corrective actions should be taken. This paper describes two types of pattern recognizers based on different neural network architectures: a multilayer perception trained by back propagation and a modular neural network. Identification of unnatural patterns can greatly narrow the causes that must be investigated, and thus the diagnostic search could be reduced in length. |
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