This in situ XAS electrochemical cell setup allows real-time monitoring of the element-specific electronic structural changes in a system at all stages of electrochemical reaction.
According to the serious threat of lead to the public health, plenty of methods have been developed for monitoring of this element, but most of these methods suffer from limitations such as requirement to long time, costly instruments and complicated procedures.
Therefore, we propose to refine the monitoring of the contextual elements adding triggers and actions.
Via the scientific monitoring of the implementation, suitable elements can be highlighted for transfer to other facilities.
Vibration monitoring of rolling element bearings is probably the most established diagnostic technique for rotating machinery.
Time domain vibration signals of the bearing obtained directly from the FE modelling were processed further to estimate time frequency and frequency domain results, such as spectrogram and power spectrum, using standard signal processing techniques pertinent to the vibration-based monitoring of rolling element bearings.
The function boundary for each of these tests is different and will require a different set of stimuli from the test system, as well as monitoring of the behavior of functional elements using different signals or communications messages.
The measured data can be acquired in real-time with LabView software, which allows the real-time monitoring of the photocurrents for individual elements in the photodetector both through a numeric and graphical display.
The present commercial computer aided engineering packages can be used in special engineering applications such as condition monitoring of rolling element bearings.
Condition monitoring of rolling element bearings, comprises four main stages which are, statistical analysis, fault diagnostics, defect size calculation, and prognostics.
Currently there is no obvious solution, but some improvement could be made by following two main objectives: the adaptation of the choice of the element of monitoring to each patient, and the development of technical solutions with multiparametric approaches to detect events that are clinically relevant.
