The statistical properties of raw knock signal time histories
• A stochastic analysis showing the phasing and evolution of knock over the combustion period. • Show to be a non-stationary, cyclically independent process. • Cyclic distributions modeled as a dual Gaussian process with evolving knock fraction. • Method applied to both cylinder pressure and acceler...
Ausführliche Beschreibung
Autor*in: |
Peyton Jones, James C. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Species loss from land use of oil palm plantations in Thailand - Jaroenkietkajorn, Ukrit ELSEVIER, 2021, mssp, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:156 ; year:2021 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.ymssp.2021.107660 |
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• A stochastic analysis showing the phasing and evolution of knock over the combustion period. • Show to be a non-stationary, cyclically independent process. • Cyclic distributions modeled as a dual Gaussian process with evolving knock fraction. • Method applied to both cylinder pressure and accelerometer knock signals. |
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• A stochastic analysis showing the phasing and evolution of knock over the combustion period. • Show to be a non-stationary, cyclically independent process. • Cyclic distributions modeled as a dual Gaussian process with evolving knock fraction. • Method applied to both cylinder pressure and accelerometer knock signals. |
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• A stochastic analysis showing the phasing and evolution of knock over the combustion period. • Show to be a non-stationary, cyclically independent process. • Cyclic distributions modeled as a dual Gaussian process with evolving knock fraction. • Method applied to both cylinder pressure and accelerometer knock signals. |
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