Acoustic Emission and Artificial Intelligent Methods in Condition Monitoring of Rotating Machine – A Review

• Main Authors: Yasir , Hassan Ali, Salah, M. Ali, Roslan, Abd Rahman, Raja Ishak, Raja Hamzah
• Format: Conference or Workshop Item
• Language: English
• Published: Universiti Malaysia Pahang 2016
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/15909/1/P032%20pg212-219.pdf; http://umpir.ump.edu.my/id/eprint/15909/; http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
• Institution: Universiti Malaysia Pahang

Machinery condition monitoring has become one of the essential components in the industry due to the ability of providing insight to the machine condition during operation as well as enhancing productivity and increasing machine reliability. This paper provides a review on using acoustic emission...