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dc.contributor.authorAl Mashhadany, Yousif-
dc.contributor.authorLilo, Moneer Ali-
dc.contributor.authorBin Haji Abu, Aminudin-
dc.contributor.authorLatiff, L.A.-
dc.date.accessioned2022-10-25T06:31:10Z-
dc.date.available2022-10-25T06:31:10Z-
dc.date.issued2016-
dc.identifier.issn2040-7467-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/6405-
dc.description.abstractWireless sensor networks have received increasing research attention and they can be found in every field of life. The industrial wireless sensor network is one of the boosting and emerging technologies for machine fault diagnosis and monitoring. This study provides a review on vibration fault diagnosis approaches in industrial wireless applications and discusses the causes of machine faults and challenges. Several advanced vibration approaches have been used to quantify machine operating conditions. These approaches provide a fault diagnosis mechanism and expert maintenance solutions through analysis of vibration. The review also shows a broad scope of research for developing a robust fault diagnosis approaches in the field of industrial wireless sensor networks.en_US
dc.language.isoenen_US
dc.publisherResearch Journal of Applied Sciences, Engineering and Technology 12(12): 1190-1195, 2016 ISSN: 2040-7459; e-ISSN: 2040-7467en_US
dc.subjectArtificial intelligenceen_US
dc.subjectchallengesen_US
dc.subjectfault diagnosisen_US
dc.subjectindustriesen_US
dc.titleReview Article Comparison of Fault Diagnosis Approaches in Industrial Wireless Networks: A Reviewen_US
dc.typeArticleen_US
Appears in Collections:الهندسة الكهربائية

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