Jacek Dybała

TL;DR: A model-based method for predicting RUL of machinery is proposed and the effectiveness of the proposed method is identified, using vibration signals from accelerated degradation tests of rolling element bearings.

TL;DR: In this paper, an EMD-based rolling bearing diagnosing method was proposed for bearing damage detection at a much earlier stage of damage development, by using EMD a raw vibration signal is decomposed into a number of Intrinsic Mode Functions ( IMF s) and then, a new method of IMF s aggregation into three Combined Mode Function (CMF s) was applied and finally the vibration signal was divided into three parts of signal.

TL;DR: In this article, a method for removal of signal's frequential structure disturbances related with relative move of vehicles and stationary monitoring station was used. But the authors did not consider the effect of the Doppler effect.

TL;DR: In this article, the authors proposed use of magnetometers as an interesting alternative to pass the requirements of simplicity of application, minimum costs and maximum of acquired information, and demonstrated the possibility of using the passive magnetic methods for the purpose of monitoring of vehicles.

TL;DR: Tests show that the devised approach is appropriate and effective at identifying bearing damages at early stages of their development and the practicability and the effectiveness of the proposed approach have been tested on simulated and real-world vibration data.