On-Line Monitoring of Pharmaceutical Production Processes Using Hidden Markov Model
文献类型：期刊论文
| 作者 | HUI ZHANG; ZHUANGDE JIANG; J.Y. PI; H.K. XU; R. DU |
| 刊名 | JOURNAL OF PHARMACEUTICAL SCIENCES
 |
| 出版日期 | 2009 |
| 卷号 | 98期号:4页码:1487-1498 |
| 英文摘要 | This article presents a new method for on-line monitoring of pharmaceutical production process, especially the powder blending process. The new method consists of two parts: extracting features from the Near Infrared (NIR) spectroscopy signals and recognizing patterns from the features. Features are extracted from spectra by using Partial Least Squares method (PLS). The pattern recognition is done by using Hidden Markov Model (HMM). A series of experiments are conducted to evaluate the effectiveness of this new method. In the experiments, wheat powder and corn powder are blended together at a set concentration. The proposed method can effectively detect the blending uniformity (the success rate is 99.6%). In comparison to the conventional Moving Block of Standard Deviation (MBSD), the proposed method has a number of advantages, including higher reliability, higher robustness and more transparent decision making. It can be used for effective on-line monitoring of pharmaceutical production processes. |
| 收录类别 | SCI |
| 原文出处 | http://onlinelibrary.wiley.com/doi/10.1002/jps.21535/full |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2343]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | JOURNAL OF PHARMACEUTICAL SCIENCES |
| 推荐引用方式 GB/T 7714 | HUI ZHANG,ZHUANGDE JIANG,J.Y. PI,et al. On-Line Monitoring of Pharmaceutical Production Processes Using Hidden Markov Model[J]. JOURNAL OF PHARMACEUTICAL SCIENCES,2009,98(4):1487-1498. |
| APA | HUI ZHANG,ZHUANGDE JIANG,J.Y. PI,H.K. XU,&R. DU.(2009).On-Line Monitoring of Pharmaceutical Production Processes Using Hidden Markov Model.JOURNAL OF PHARMACEUTICAL SCIENCES,98(4),1487-1498. |
| MLA | HUI ZHANG,et al."On-Line Monitoring of Pharmaceutical Production Processes Using Hidden Markov Model".JOURNAL OF PHARMACEUTICAL SCIENCES 98.4(2009):1487-1498. |
入库方式： OAI收割
来源：深圳先进技术研究院
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