EPSRC Reference: |
GR/J11522/01 |
Title: |
STOCHASTIC MODELLING AND ANALYSIS OF PETROL ENGINE CYLINDER PRESSURE DATA |
Principal Investigator: |
Roberts, Professor R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Mechanical and Civil Engineering |
Organisation: |
University of Sussex |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 December 1993 |
Ends: |
31 December 1996 |
Value (£): |
116,477
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
Transport Systems and Vehicles |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
The aim of the proposed programme is to develop new algorithms for modelling and quantifying cylinder pressure data, within a stochastic framework. Special emphasis will be placed on the statistical modelling of cycle-to-cycle variations. The ability to model such random variations in a realistic manner is of increasing importance in simulations of the oscillations which occur in drive train and intake/exhaust systems, as a result of cyclic combustion fluctuations. The proposed work will be applicable to particular engines for which a stochastic model has been identified over a range of operating conditions, and will provide a relatively simple and specific model for those engines. The programme will yield efficient methods for estimating the parameters in the stochastic model, through optimal fitting to experimental data acquired from a particular engine, and will also result in theoretical methods for estimating the statistical variability of the parameter estimates, enabling engine tests to be cost-effectively designed.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.sussex.ac.uk |