Name
Title | ||
|---|---|---|
Monitoring Machine Tool Based on External Physical Characteristics of the Machine Tool Using Machine Learning Algorithm |
Abstract | ||
|---|---|---|
Using the three-dimensional acceleration sensor and the current sensor to collect vibration data and current data to get information from machine tools without Programmable Logic Controller(PLC) is the direct method. Processing the data by characteristic extraction engineering, and building models by machine learning algorithms. So it can identify the status of machine tools from this models accurately. Then, it can help the small-and medium sized enterprises to monitor machine tools with high scalability and portability. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/AI4I.2018.8665696 | 2018 First International Conference on Artificial Intelligence for Industries (AI4I) |
Keywords | Field | DocType |
Machine tools,Acceleration,Monitoring,Data models,Machine learning algorithms,Standards,Support vector machines | Data modeling,Computer science,Support vector machine,Algorithm,Software portability,Acceleration,Current sensor,Artificial intelligence,Programmable logic controller,Machine learning,Scalability,Machine tool | Conference |
ISBN | Citations | PageRank |
978-1-5386-9209-7 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chia-Ruei Liu | 1 | 0 | 0.34 |
| L. Duan | 2 | 12 | 3.65 |
| Po-Wei Chen | 3 | 0 | 0.34 |
| Chao-Chun Yang | 4 | 0 | 0.34 |