Pattern recognition on diesel engine working condition by using a novel methodology - Hilbert spectrum entropy

H. Li, P. Zhou, X. Ma

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

In this paper, a novel method of diesel engine pattern recognition is introduced. Hilbert spectrum (HS) and information entropy are combined to form the Hilbert spectrum entropy (HSE) which is able to give an accurate entropy estimation for Hilbert spectrum. It is more convenient and visual to pattern recognition and fault diagnosis. Experimental data of piston and cylinder liner wear rates obtained from a production diesel engine is used to evaluate the newly developed method. A good conclusion has been reached. Hilbert spectrum entropy is a more advanced method, owing to its numerical outputs, for pattern recognition and fault diagnosis of diesel engines.
LanguageEnglish
Pages43-48
Number of pages6
JournalProceedings- Institute of Marine Engineering Science and Technology Part A Journal of Marine Engineering and Technology
VolumeA6
Publication statusPublished - 2005

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Pattern recognition
Diesel engines
Entropy
Failure analysis
Engine cylinders
Pistons
Wear of materials

Keywords

  • pattern recognition
  • hilbert spectrum calculation

Cite this

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title = "Pattern recognition on diesel engine working condition by using a novel methodology - Hilbert spectrum entropy",
abstract = "In this paper, a novel method of diesel engine pattern recognition is introduced. Hilbert spectrum (HS) and information entropy are combined to form the Hilbert spectrum entropy (HSE) which is able to give an accurate entropy estimation for Hilbert spectrum. It is more convenient and visual to pattern recognition and fault diagnosis. Experimental data of piston and cylinder liner wear rates obtained from a production diesel engine is used to evaluate the newly developed method. A good conclusion has been reached. Hilbert spectrum entropy is a more advanced method, owing to its numerical outputs, for pattern recognition and fault diagnosis of diesel engines.",
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AB - In this paper, a novel method of diesel engine pattern recognition is introduced. Hilbert spectrum (HS) and information entropy are combined to form the Hilbert spectrum entropy (HSE) which is able to give an accurate entropy estimation for Hilbert spectrum. It is more convenient and visual to pattern recognition and fault diagnosis. Experimental data of piston and cylinder liner wear rates obtained from a production diesel engine is used to evaluate the newly developed method. A good conclusion has been reached. Hilbert spectrum entropy is a more advanced method, owing to its numerical outputs, for pattern recognition and fault diagnosis of diesel engines.

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