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Experimental Investigation of Cyclic Variation in a Diesel Engine Using Wavelets

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Intelligent Systems Technologies and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 384))

Abstract

In this study, cyclic variations of combustion parameters (IMEP and THR) are analyzed using morlet wavelet transform in a diesel engine. Experiments were conducted at 1500 rpm for different engine load conditions and compression ratios. Combustion parameters were calculated from measured cylinder pressure trace. In-cylinder pressure data of 2500 consecutive engine cycles were acquired and processed for the analysis of cyclic variations. Results revealed that cyclic variability in THR decreases with increase in engine load and compression ratio. Cyclic variability is highest in idle load conditions at lowest compression ratio. Low frequency cyclic variations are observed at low loads conditions and with increase in engine load variations shift to high frequency range. Results can be utilized for the development of effective engine control strategies.

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Authors and Affiliations

  1. Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India

    Rakesh Kumar Maurya, Mohit Raj Saxena & Nekkanti Akhil

Authors
  1. Rakesh Kumar Maurya
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  2. Mohit Raj Saxena
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  3. Nekkanti Akhil
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Corresponding author

Correspondence to Rakesh Kumar Maurya .

Editor information

Editors and Affiliations

  1. Dipartimento di Ingegneria dell’ Informazione (DINFO) , Universita degli Studi di Firenze, Firenze, Italy

    Stefano Berretti

  2. School of CS/IT, Indian Institute of Information Tech. and Management – Kerala (IIITM-K), Trivandrum, Kerala, India

    Sabu M. Thampi

  3. Indian Institute of Management Rohtak, Rohtak, Haryana, India

    Praveen Ranjan Srivastava

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© 2016 Springer International Publishing Switzerland

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Maurya, R.K., Saxena, M.R., Akhil, N. (2016). Experimental Investigation of Cyclic Variation in a Diesel Engine Using Wavelets. In: Berretti, S., Thampi, S., Srivastava, P. (eds) Intelligent Systems Technologies and Applications. Advances in Intelligent Systems and Computing, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-319-23036-8_21

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  • DOI: https://doi.org/10.1007/978-3-319-23036-8_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23035-1

  • Online ISBN: 978-3-319-23036-8

  • eBook Packages: EngineeringEngineering (R0)

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