{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1361418520347679232.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1177/095965180221600304"}},{"identifier":{"@type":"URI","@value":"https://journals.sagepub.com/doi/pdf/10.1177/095965180221600304"}}],"dc:title":[{"@value":"Gear fault diagnosis using energy-based features of acoustic emission signals"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p> In this work, energy-based features are introduced for monitoring and diagnosis of machine conditions in spite of speed and load variations. The basic feature, termed here the energy index (EI), is a statistical measure of relative energy levels of segments of a time domain signal over a cycle. The properties of the EI are discussed and its different forms are derived. A procedure is presented for fault diagnosis of gears using the proposed features. As an illustration, time domain acoustic emission (AE) signals of a test gearbox have been processed to extract these features and to test their relative significance in the diagnostic process. The proposed technique is compared with some of the existing methods using the same AE data for early fault detection. The applicability of the proposed technique is also studied using a set of vibration data of a helicopter drivetrain system gearbox. The results show the effectiveness of the proposed features in monitoring and diagnosis of machine conditions, with the capability of early fault detection. </jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381418520347679232","@type":"Researcher","foaf:name":[{"@value":"K R Al-Balushi"}],"jpcoar:affiliationName":[{"@value":"College of Engineering Sultan, Qaboos University Department of Mechanical and Industrial Engineering Muscat, Sultanate of Oman"}]},{"@id":"https://cir.nii.ac.jp/crid/1381418520347679233","@type":"Researcher","foaf:name":[{"@value":"B Samanta"}],"jpcoar:affiliationName":[{"@value":"College of Engineering Sultan, Qaboos University Department of Mechanical and Industrial Engineering Muscat, Sultanate of Oman"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"09596518"},{"@type":"EISSN","@value":"20413041"}],"prism:publicationName":[{"@value":"Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"}],"dc:publisher":[{"@value":"SAGE Publications"}],"prism:publicationDate":"2002-05-01","prism:volume":"216","prism:number":"3","prism:startingPage":"249","prism:endingPage":"263"},"reviewed":"false","dc:rights":["https://journals.sagepub.com/page/policies/text-and-data-mining-license"],"url":[{"@id":"https://journals.sagepub.com/doi/pdf/10.1177/095965180221600304"}],"createdAt":"2014-03-10","modifiedAt":"2025-03-03","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1390001205271892352","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Diagnosis of gear damage based on coefficient of variation method by analyzing vibration accelerations on one gear tooth"}]},{"@id":"https://cir.nii.ac.jp/crid/1390001205273029376","@type":"Article","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"Diagnosis for gear tooth surface damage by empirical mode decomposition in cyclic fatigue test"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1177/095965180221600304"},{"@type":"CROSSREF","@value":"10.1299/jamdsm.2014jamdsm0039_references_DOI_3aAaiiU4Ger2QuYXSkaRkSNr1k7"},{"@type":"CROSSREF","@value":"10.1299/jamdsm.2016jamdsm0030_references_DOI_3aAaiiU4Ger2QuYXSkaRkSNr1k7"}]}