Role of Empirical Mode Decomposition in Fault Diagnosis of Industrial Components

Simple item page
dc.contributor.authorChauhan, Sumika
dc.contributor.authorVashishtha, Govind
dc.contributor.authorSingh, Riya
dc.contributor.authorShakya, Paramjeet
dc.contributor.authorChaiyaput, Salisa
dc.date.accessioned2026-08-06T10:54:38Z
dc.date.available2026-08-06T10:54:38Z
dc.date.issued2026-02-01
dc.description.abstractBackground: Rotating machinery is critical in industrial applications but prone to malfunctions due to harsh operating conditions. Signal processing techniques, especially Empirical Mode Decomposition (EMD), are effective for fault detection and diagnosis. EMD has been widely researched and applied. Purpose: This study aims to provide a comprehensive review of the latest developments in EMD applications for rotating machinery fault diagnosis. It serves as a valuable resource for researchers in this area and helps to identify potential future research directions. Methods: The review begins with a brief introduction to EMD, highlighting its benefits, and addressing common issues with the proposed solutions. It then summarizes recent EMD applications in fault diagnosis for critical components, such as bearings, gears, and rotors. Conclusion: The paper concludes by discussing unresolved challenges and suggesting avenues for future research. This review is designed to serve as both an introduction to EMD for newcomers and a state-of-the-art summary for experienced researchers in the field of fault diagnosis.
dc.identifier.citationJournal of Vibration Engineering and Technologies, 14(2), 2026
dc.identifier.doi10.1007/s42417-026-02339-5
dc.identifier.issn25233920
dc.identifier.other2-s2.0-105028428453
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/17876
dc.sourceJournal of Vibration Engineering and Technologies
dc.subjectEmpirical mode decomposition
dc.subjectFault diagnosis
dc.subjectIntrinsic mode function
dc.subjectRotating machinery
dc.titleRole of Empirical Mode Decomposition in Fault Diagnosis of Industrial Components
dc.typeReview

Files

Collections

Research