Papers

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

Title 2: An inference time-efficient 3D printer fault detection using CNN
- KICS paper

Title 3: Deep learning-based fault prediction

Last Week's Progress

Title 1:
- Waiting for the result

Title 2:
- Submitted to KICS

Title 3:
- Study-related paper for fault detection

This Week Todo's

Title 1:
- Waiting for the result (May 28)

Title 2:
- Submitted

Title 3:
- Study-related works
- Search and study fault detection and prediction in general
- Re-simulated fault prediction
- Start writing the abstract or introduction

Project Progress

3D Monitoring Project

Last Week's Project

1. Study fault diagnosis in 3D printer
2. Searched fault detection in general
3. Online tutorial for 3D controller

This Week's Project

1. Search and try to implement a 3D controller
2. Survey related works
3. Wait for the 3D printer to be fixed
4. Actual test in 3D printer

Monthly Goals

1. Search and review related papers
- python and LabView/MatLab integration
- Controlling the 3D printer
- Machine learning with the 3D printer
- Fault detection and 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
- Submit my paper on time

Annual Goals

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