書誌事項
- タイトル別名
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- Identifying Causal Factors by Mean-value Replacement Contribution
- ヘイキンチ チカン キヨ ニ ヨル イジョウ ゲンイン インシ ノ トクテイ
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抄録
<p>In a Lithium Ion Battery process, it is desired to find a causal factor that reduces the stability of the process. In this paper, we propose the mean replacement contribution. Each representative value is replaced with an average value one by one, and the difference between those Mahalanobis distances is used as a contribution. The proposed method was compared with T2 contribution, Q contribution, reconstruction contribution (RBC), and random forest importance using the sensor signal of the coating device. As a result, the mean replacement contribution was able to identify the causal factor most accurately based on the knowledge of the engineer. Normally, an engineer needs a lot of man-hours to perform analysis, so that the proposed method can reduce the time.</p>
収録刊行物
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- 計測自動制御学会論文集
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計測自動制御学会論文集 57 (2), 86-91, 2021
公益社団法人 計測自動制御学会
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詳細情報 詳細情報について
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- CRID
- 1390568617214639104
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- NII論文ID
- 130007988031
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- NII書誌ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL書誌ID
- 031293359
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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