How can Acoustic Emission Signals be Used in Condition Monitoring and Diagnosis of Diesel Engine Condition?
|School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology, George Street, Brisbane, Queensland, Australia|
|Corresponding Author :||Tan ACC
School of Chemistry
Physics and Mechanical Engineering
Queensland University of Technology
George Street, Brisbane
Tel: +61 73138 1982
E-mail: [email protected]
|Received January 05, 2016; Accepted January 20, 2016; Published January 23, 2016|
|Citation: Tan ACC (2016) How can Acoustic Emission Signals be Used in Condition Monitoring and Diagnosis of Diesel Engine Condition? Adv Automob Eng S1:002. doi:10.4172/2167-7670.S1-002|
|Copyright: © 2016 Tan ACC. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
Acoustic emission (AE) technique has recently been extensively used in machine health monitoring and diagnosis of diesel engine. Although it offers many advantages for early detection of fault symptoms, it also comes with many challenging problems. Due to its operation in high frequency range (stress waves), from a few kHz to MHz, it poses a problem of massive data storage and transmission. Furthermore, the non-linearity of AE sensors is also another challenge as it does not provide any quantitative/comparative analysis if multiple sensors are used, such in multi-cylinder diesel engine. Hence, this short paper will present the work carried out in the author’s laboratory by introducing a simple and innovative data reduction process termed as Peak Hold down Sampling (PHDS) and a normalization approach for diagnosis of diesel engine.