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Analysis of vibration and acoustic signals for noncontact measurement of engine rotation speed

dc.contributor.authorShan, Xuansheng
dc.contributor.authorTang, Lu
dc.contributor.authorWen, He
dc.contributor.authorMartinek, Radek
dc.contributor.authorSmulko, Janusz
dc.date.accessioned2020-04-16T11:21:18Z
dc.date.available2020-04-16T11:21:18Z
dc.date.issued2020
dc.identifier.citationSensors. 2020, vol. 20, issue 3, art. no. 683.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/139410
dc.description.abstractThe non-contact measurement of engine speed can be realized by analyzing engine vibration frequency. However, the vibration signal is distorted by harmonics and noise in the measurement. This paper presents a novel method for the measurement of engine rotation speed by using the cross-correlation of vibration and acoustic signals. This method can enhance the same frequency components in engine vibration and acoustic signal. After cross-correlation processing, the energy centrobaric correction method is applied to estimate the accurate frequency of the engine's vibration. This method can be implemented with a low-cost embedded system estimating the cross-correlation. Test results showed that this method outperformed the traditional vibration-based measurement method.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttp://doi.org/10.3390/s20030683cs
dc.rights© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectengine rotation speedcs
dc.subjectcross-correlationcs
dc.subjectvibrationcs
dc.subjectacousticcs
dc.subjectnoncontact measurementcs
dc.subjectFourier transformcs
dc.titleAnalysis of vibration and acoustic signals for noncontact measurement of engine rotation speedcs
dc.typearticlecs
dc.identifier.doi10.3390/s20030683
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume20cs
dc.description.issue3cs
dc.description.firstpageart. no. 683cs
dc.identifier.wos000517786200107


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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.