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AuthorGowid, Samer
AuthorDixon, Roger
AuthorGhani, Saud
Available date2021-09-01T10:03:29Z
Publication Date2016
Publication NameInternational Journal of Acoustics and Vibrations
ResourceScopus
URIhttp://dx.doi.org/10.20855/ijav.2016.21.2410
URIhttp://hdl.handle.net/10576/22470
AbstractThis paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation is based on time domain and frequency domain analysis, as well as on process information, vibration, and acoustic emission fault detection techniques. The results showed that the data analysis method applied in this study is effective, as it yielded a detection accuracy of 100%. A lookup table was compiled to provide an integrated solution for the developer of Condition-Based Monitoring (CBM) applications of centrifugal blowers. The major contribution of this paper is the integration and characterisation of the major fault detection features and techniques.
Languageen
PublisherInternational Institute of Acoustics and Vibrations
SubjectAcoustic emission testing
Blowers
Centrifugation
Compressors
Condition monitoring
Fault detection
Feature extraction
Frequency domain analysis
Table lookup
Vibration analysis
Centrifugal blower
Condition-based monitoring
Data analysis methods
Detection accuracy
Detection features
Fault detection techniques
Integrated solutions
Process information
Time domain analysis
TitleCharacterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers
TypeConference Paper
Pagination184-191
Issue Number2
Volume Number21
dc.accessType Open Access


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