This lesson covers the second part of the measurement of two-phase flow and signal analysis. It delves into the use of multi-sensors or multi-probes and the signal analysis of multiple probes. The lesson highlights the essence of signal analysis, explaining how features can be obtained from signals and how data fusion can be done using multiple signals from sensors. It also discusses modern techniques for signal analysis like scatter plot attractor and time delay plot. The lesson further explains how to use multiple sensor data to reconstruct the interface. It also introduces the concept of signal transform and how it can be used to identify the typical feature of time domain variations and the dominant frequencies and modes of the signal.
01:04 - Essence of signal analysis and how features can be obtained from signals
03:14 - Fourier transform to find out the dominant frequencies and modes of a signal
05:09 - Data fusion to predict the flow regime
13:55 - Using scatter plot and time delay plot can be used to evaluate the pattern of two-phase flow
19:59 - Interface reconstruction using mesh conductivity probe signals
26:43 - Data fusion in tomographic measurement
- Understanding the essence of signal analysis and its role in evaluating quantitative data.
- Learning how to use multiple signals from sensors for data fusion and obtaining quantitative information.
- Gaining knowledge on modern techniques for signal analysis like scatter plot attractor and time delay plot.
- Learning how to use multiple sensor data to reconstruct the interface.
- Understanding the concept of signal transform and its application in identifying the typical feature of time domain variations and the dominant frequencies and modes of the signal.