Acoustic emission for diesel engine monitoring: A review and preliminary


Autoria(s): Kim, Eric; Tan, Andy; Yang, Bo-Suk
Data(s)

2011

Resumo

Vibration analysis has been a prime tool in condition monitoring of rotating machines, however, its application to internal combustion engines remains a challenge because engine vibration signatures are highly non-stationary that are not suitable for popular spectrum-based analysis. Signal-to-noise ratio is a main concern in engine signature analysis due to severe background noise being generated by consecutive mechanical events, such as combustion, valve opening and closing, especially in multi-cylinder engines. Acoustic Emission (AE) has been found to give excellent signal-to-noise ratio allowing discrimination of fine detail of normal or abnormal events during a given cycle. AE has been used to detect faults, such as exhaust valve leakage, fuel injection behaviour, and aspects of the combustion process. This paper presents a review of AE application to diesel engine monitoring and preliminary investigation of AE signature measured on an 18-cylinder diesel engine. AE is compared with vibration acceleration for varying operating conditions: load and speed. Frequency characteristics of AE from those events are analysed in time-frequency domain via short time Fourier trasform. The result shows a great potential of AE analysis for detection of various defects in diesel engines.

Identificador

http://eprints.qut.edu.au/49266/

Relação

DOI:10.1007/978-0-85729-493-7_37

Kim, Eric, Tan, Andy, & Yang, Bo-Suk (2011) Acoustic emission for diesel engine monitoring: A review and preliminary. In The 5th World Congress on Engineering Asset Management (WCEAM 2010), 25-27 October 2010, Brisbane Convention and Exhibition Centre, Brisbane, Qld.

Direitos

Springer-Verlag

Fonte

School of Chemistry, Physics & Mechanical Engineering; Faculty of Built Environment and Engineering; Science & Engineering Faculty

Palavras-Chave #091300 MECHANICAL ENGINEERING #Condition Monitoring #Diesel Engines #Acoustic Emission #Fault Detection
Tipo

Conference Paper