This dataset contains the data supporting the figures in the manuscript
"<A Non-Intrusive Framework Using Acoustic Signals and Deep Learning for Boiling Diagnostics in Visual-Limited Environments>".

Contents:

The dataset includes the data for Figures in the manuscript and an example data to replicate Figure 7 and Figure 8 [IPF condition]

BL_log_paper.xlsx – Including the followings
- data number
- Flow rate (GPM)
- Induction heating percentage
- Bulk temperature (degC)
- Heat flux (kW/m2)	
- Heat flux std	
- Superheat temp. (degC)	
- Wall temp. std.	
- Bubble parameters and corresponding std. [obtained from HSV]
	. Bubbble deparature diameter (mm)	
	. Bubble deparature diameter std.	
	. Bubble frequency (1/s)	
	. Bubble frequency std.	
	. Bubble wait time (ms)	
	. Bubble wait time std.	
	. Nucleation site density [1/cm2]	
	. Nucleation site density std.

Under \audio_raw\
Including example raw hydrophone signals with the format of 26824_1_<data number>

Under \code\
- audio_spectrum.py – Used for processing raw hydrophone signals into STFT spectrograms for CNN model 
	. Change snr_tag to generate white noise at various level.
	. In Line #94 [Range set to (0,1) for prediction, and (1,2) for training]
- ML_hydrophone_1I6O.py – Used for CNN model training 
	. The code read both BL_log_paper.xlsx and STFT spectrograms generated from audio_spectrum.py 
	. Output <model_cond>.h5 model
- ML_hydrophone_1I6O_app.py – Use <model_cond>.h5 model to predict bubble parameters
	. The code read both BL_log_paper.xlsx and STFT spectrograms generated from audio_spectrum.py
	. Output preliminary figures [.png] and data [.xlsx]
 

Under \fig\
Fig_4.xlsx – raw data for Fig. 4
Fig_7_a.xlsx – raw data for Fig. 7 (a)
Fig_7_bcde.xlsx – raw data for Fig. 7 (b) - (e)
Fig_8_a.xlsx – raw data for Fig. 8 (a)
Fig_8_b.xlsx – raw data for Fig. 8 (b)
Fig_9.xlsx – raw data for Fig. 9
Fig_10.xlsx – raw data for Fig. 10
Fig_11.xlsx – raw data for Fig. 11
Fig_12_a.xlsx – raw data for Fig. 12 (a)
Fig_12_b.xlsx – raw data for Fig. 12 (b)
Fig_12_c.xlsx – raw data for Fig. 12 (c)
analysis_fig2.py – Python script used to analyze Fig. 2 data


Notes:
All data are unclassified and intended for public release.


Contact:
Pei-Hsun Huang (phhuang@lanl.gov)