Canonical variate analysis-based contributions for fault identification
• Canonical variate analysis-based methods are proposed for fault identification. • Variable contributions are defined based on state space and residual space. • A faulty variable can mostly impact the state space, the residual space, or both. • Faulty variables were observed to be more likely assoc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jiang, Benben [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: A metric to gauge local distortion in metallic glasses and supercooled liquids - Wu, Chen ELSEVIER, 2014transfer abstract, a journal affiliated with IFAC, the International Federation of Automatic Control, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:26 ; year:2015 ; pages:17-25 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.jprocont.2014.12.001 |
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ELV03984580X |
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| 520 | |a • Canonical variate analysis-based methods are proposed for fault identification. • Variable contributions are defined based on state space and residual space. • A faulty variable can mostly impact the state space, the residual space, or both. • Faulty variables were observed to be more likely associated with residual space. | ||
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| 650 | 7 | |a Process monitoring |2 Elsevier | |
| 650 | 7 | |a Fault identification |2 Elsevier | |
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| 650 | 7 | |a Canonical variate analysis |2 Elsevier | |
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• Canonical variate analysis-based methods are proposed for fault identification. • Variable contributions are defined based on state space and residual space. • A faulty variable can mostly impact the state space, the residual space, or both. • Faulty variables were observed to be more likely associated with residual space. |
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• Canonical variate analysis-based methods are proposed for fault identification. • Variable contributions are defined based on state space and residual space. • A faulty variable can mostly impact the state space, the residual space, or both. • Faulty variables were observed to be more likely associated with residual space. |
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• Canonical variate analysis-based methods are proposed for fault identification. • Variable contributions are defined based on state space and residual space. • A faulty variable can mostly impact the state space, the residual space, or both. • Faulty variables were observed to be more likely associated with residual space. |
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