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Application of Mathematical Morphology in Diesel Vibration Signals

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Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9490))

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Abstract

In this paper, according to the characteristics of the diesel engine vibration signal, the design for a class of adaptive generalized morphological filter is applied to the noise reduction of diesel engine vibration signal. After pre-processing the diesel engine vibration signal, then it is designed the shape, width and height of the structure elements. This paper, according to the characteristics of the diesel engine noise, chooses the semicircle structural elements and calculates the local maximum signal sequence and local minimum signal sequence so as to strike the height and width of the structural elements, then uses the gradient method to find the weight value adaptive. As a result, it will make noise reduction to achieve effectively, and the result has some superiorities compared with the traditional wavelet noise reduction.

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Acknowledgment

The work described in this paper has been supported by National Natural Science Foundation of China under the grant No. 51175480 and Natural Science Foundation of Shanxi under the grant No. 2012021014-2. The authors would like to express their gratitude for the support of this study.

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Correspondence to Hongxia Pan .

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© 2015 Springer International Publishing Switzerland

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Pan, H., Dong, A., Cao, M. (2015). Application of Mathematical Morphology in Diesel Vibration Signals. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9490. Springer, Cham. https://doi.org/10.1007/978-3-319-26535-3_57

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  • DOI: https://doi.org/10.1007/978-3-319-26535-3_57

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26534-6

  • Online ISBN: 978-3-319-26535-3

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