自動車工学の進歩
オープンアクセス

概要

How can acoustic emission signals be used for diesel engine condition monitoring and diagnostics?

Tan ACC

Acoustic Emission (AE) technology has been widely used recently for machine condition monitoring and diagnosis of diesel engines. While it has many advantages in early detection of fault symptoms, it also comes with many challenging issues. It operates in the high frequency range (stress waves) from several kHz to MHz, which makes storage and transfer of large amounts of data problematic. Moreover, the nonlinearity of AE sensors is another challenge, which does not provide a quantitative/comparative analysis when multiple sensors are used, as in multi-cylinder diesel engines. Therefore, this short paper presents the work carried out in the authors' laboratory by introducing a simple and innovative data reduction process called Peak Hold Down Sampling (PHDS) and normalization approach for diesel engine diagnostics.