The document summarizes tests of a microphone prototype and LabView algorithms for detecting human errors. It outlines tasks from a previous meeting, describes the microphone prototype, and reports on LabView results analyzing audio files to detect differences between files representing correct and incorrect settings. Tests were conducted in simulation mode to verify files were loaded correctly and differences detected between non-identical images and audio files. Results are presented for various component errors detected by analyzing changes in audio signals.

1. Results Review of Microphone
Prototype and LabView Detecting of
Human Errors Algorithm
Author: Minh Anh Nguyen
Colorado State University
School of Biomedical and Electrical Engineering
Email: minhanhnguyen@q.com

2. Outline of the review
• Update on tasks from the previous
meeting
• Microphone prototype
• LabView Results for detecting
methods/algorithms for audio files

3. Update on labView
• Need: Vision and Motion package to analyze the
images
• Issue:
–The Vision and Motion programming/function
package is missing or not available for the
Labview 2014 and NI myRio software
• This issue is resolved

4. Image test
• Simulation mode
– Make sure image files are loaded into the workspace
without any issues.
– Make sure a correct file is loaded
– Plot histogram of the image
– Verify that the histogram value is correct.
– Positive test: load two image files which have 2
different images and verify that the test results show
the difference.
– Negative test: load two image files which have 2
similar images and verify that the test results show
the same thing or match.

5. Labview results for comparing two images
which are identical

6. LabView results for comparing two
images which are not identical

7. LabView results for comparing two images
which are not identical

8. Audio test
• Simulation mode
– Make sure audio files are loaded into the workspace
without any issues.
– Plot and listen to audio files; make sure a correct file
is loaded.
– Verify that the FFT value is correct.
– Positive test: load two audio files which have 2
different signals and verify that the test results show
the difference.
– Negative test: load two audio files which have 2
similar signals and verify that the test result show the
same thing or match.

9. Microphone prototype for correct setting

10. LabView results for comparing two audio
files which are identical

11. Microphone prototype for hex pin not
popped out

12. Result of hex pin not popped out after
executing the device for 1 min

13. LabView results for comparing two audio
files (hex pin) which are not identical

14. Microphone prototype for upper arm
not correctly set

15. LabView results for comparing two audio files
(upper arm) which are not identical

16. Microphone prototype for upper arm not
correctly set

17. LabView results for comparing two audio files
(upper arm) which are not identical

18. Microphone prototype for lower bearing
not correctly set

19. LabView results for comparing two audio files
(lower bearing) which are not identical