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Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment

1
Department of Electrical Engineering and Automation, Admiral Makarov State University of Maritime and Inland Shipping, 198035 Saint-Petersburg, Russia
2
Department of Ship’s Electrical Equipment and Automatization, Kerch State Maritime Technological University, 298309 Kerch, Russia
3
Department of Cyber-Physical Systems, Saint Petersburg State Marine Technical University, Leninskiy Prosp., 101, 198303 Saint-Petersburg, Russia
*
Author to whom correspondence should be addressed.
Received: 12 November 2020 / Revised: 23 November 2020 / Accepted: 25 November 2020 / Published: 2 December 2020
The use of digital technologies in the systems of diagnostics and monitoring of units of a ship’s propulsion plant can significantly increase the efficiency and quality of assessing the technical condition of operated objects in the online mode as well as expand the class of practical problems to be solved. Digital processing of signals of complex configuration at a qualitatively new level is an indispensable condition for a critical improvement in the course of processing the current values of diagnosable parameters, increasing the reliability and trouble-free performance of a ship’s technical equipment during operation. A method of approximation has been discussed in the paper. Moreover, the paper provides an algorithm for analyzing the signal of the indicator diagram of a marine diesel engine, the spectrum of which contains high-frequency components and short-term pulses indicating deviations from the normal operating mode, the assessment of which is practically impossible with the traditionally applied methods of spectral analysis of signals. The approximation method is based on the use of wavelet analysis, which makes it possible to deeply explore such modes. Examples of using wavelet analysis to approximate one-dimensional signals of elements and systems of a ship’s power complexes are given. View Full-Text
Keywords: indicator diagram; hourly fuel consumption; wavelet transforms; Daubechies wavelets; signal reconstruction levels; wavelet decomposition coefficients indicator diagram; hourly fuel consumption; wavelet transforms; Daubechies wavelets; signal reconstruction levels; wavelet decomposition coefficients
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MDPI and ACS Style

Sakharov, V.; Chernyi, S.; Saburov, S.; Chertkov, A. Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment. Designs 2020, 4, 52. https://0-doi-org.brum.beds.ac.uk/10.3390/designs4040052

AMA Style

Sakharov V, Chernyi S, Saburov S, Chertkov A. Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment. Designs. 2020; 4(4):52. https://0-doi-org.brum.beds.ac.uk/10.3390/designs4040052

Chicago/Turabian Style

Sakharov, Vladimir; Chernyi, Sergei; Saburov, Sergey; Chertkov, Aleksandr. 2020. "Wavelet Transforms of Diagnosable Signals from Ship Power Complexes in a MATLAB Environment" Designs 4, no. 4: 52. https://0-doi-org.brum.beds.ac.uk/10.3390/designs4040052

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