Papers

Paper titles:
Title 1: Deep learning-based 3D printer fault detection
- April 29, 2021: Submitted to ICUFN

Title 2: Deep learning-based fault prediction
- KICS paper

Title 3: An inference time-efficient 3D printer fault detection using CNN
- Collecting data

Last Week's Progress

Title 1:
1. Submitted to ICUFN
2. Waiting for the result

Title 2:
1. Searched and study-related works
2. Re-simulate fault detection

Title 3:
1. Re-simulate fault and prediction
2. Collecting data

This Week Todo's

1. Study fault detection and prediction in general
2. Find motivation of the previous studies
3. Continue writing my paper for KICS and finish on time
4. Continue collecting data (image/video) for my journal paper
5. Real related papers (fault and prediction)

Implementation:
1.Re-simulate fault prediction

Project Progress

3D Monitoring Project

Last Week's Project

1. Actual test in FDM printer
2. Searched and studied anomaly detection
3. Watched online tutorial for the 3D printer controller

This Week's Project

1. Print 3D models
2. Collect data (image/video) for the 3D printer
3. Study image processing for anomaly detection
4. Survey related works

Monthly Goals

1. Search and review related papers
- python and LabView integration
- Controlling the 3D printer
- Machine learning with the 3D printer
- Fault prediction

2. Learn more about machine learning and deep learning with Python
- Study for online tutorials
- Re-simulate what I learn

3. Journal paper
- Search and review related works
- Compare conventional and machine learning methods
- Start writing my journal

4. KICS paper
- Search and review related papers
- Compare conventional and machine learning methods
- Finish my paper on time

Annual Goals

1. Publish two or three conference paper (Domestic and International)
2. Publish at least one international journal