Acoustic emission signal analysis and artificial intelligence techniques in machine condition monitoring and fault diagnosis: a review

• Main Authors: Hassan Ali, Yasir, Abdul Rahman, Roslan, Raja Hamzah, Raja Ishak
• Format: Article
• Language: English
• Published: Penerbit UTM 2014
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/51710/1/YasirHassanAli2014_Acousticemissionsignalanalysis.pdf; http://eprints.utm.my/id/eprint/51710/; http://dx.doi.org/10.11113/jt.v69.3121
• Institution: Universiti Teknologi Malaysia

Acoustic Emission technique is a successful method in machinery condition monitoring and fault diagnosis due to its high sensitivity on locating micro cracks in high frequency domain. A recently developed method is by using artificial intelligence techniques as tools for routine maintenance. This pa...