Acoustic emission parameters evaluation in machinery condition monitoring by using the concept of multivariate analysis

• Main Authors: Al-Obaidi, S.M.A., Salman Leong, M., Raja Hamzah, R.I., Abdelrhman, A.M., Danaee, M.
• Format: Article
• Published: Asian Research Publishing Network 2016
• Subjects: TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.um.edu.my/18220/; http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0616_4467.pdf

he use of acoustic emission (AE) signal in machinery condition has considerable interest due to AE signal characteristics that can refer to machine condition. However, selecting correct AE parameters playing a pivotal role in machinery condition monitoring. This study proposed a methodology of selec...