書誌事項
- タイトル別名
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- Process Systems Engineering. Feature Extraction from Time-Series Data for Process Monitoring.
- プロセス カンシ ノ タメ ノ ジケイレツ データ カラ ノ トクチョウ チュ
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A plant operator monitors time-series data of process variables to judge the state of process, diagnose abnormal states, and to identify failure origins. In this study, a new feature extraction method which extracts simultaneously both local features such as spikes and step changes, and the trend which characterizes global changes is provided from the viewpoint of process monitoring. In this method, the continuous function interpolated from the time-series data is represented by a series of inflection points first. Each time interval between two inflection points is called an episode. Then an approximation function of the time-series data is made iteratively by way of merging these episodes. This feature extraction method is also useful for compaction of a large number of process data.
収録刊行物
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- 化学工学論文集
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化学工学論文集 22 (5), 1103-1110, 1996
公益社団法人 化学工学会
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詳細情報 詳細情報について
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- CRID
- 1390282679484814848
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- NII論文ID
- 10002669521
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- NII書誌ID
- AN00037234
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- ISSN
- 13499203
- 0386216X
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- NDL書誌ID
- 4057619
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可