Name
Abstract | ||
|---|---|---|
In process-based industries, modern process control systems have become data-driven and collect a vast amount of data from sensors in the field and alarm information. The collected data provides an opportunity for the data scientist to learn from historical data and apply Machine Learning (ML) models to automate the process control systems. Thus, assisting the plant operators in making informed de... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/BigComp54360.2022.00053 | 2022 IEEE International Conference on Big Data and Smart Computing (BigComp) |
Keywords | DocType | ISSN |
industrial process control systems,alarm prediction,process simulation,multivariate time series data | Conference | 2375-933X |
ISBN | Citations | PageRank |
978-1-6654-2197-3 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marcel Dix | 1 | 0 | 0.68 |
| Ashish Chouhan | 2 | 0 | 0.34 |
| Madhushree Sinha | 3 | 0 | 0.34 |
| Akhil Singh | 4 | 0 | 0.34 |
| Suraj Bhattarai | 5 | 0 | 0.34 |
| Shweta Narkhede | 6 | 0 | 0.34 |
| Ajinkya Prabhune | 7 | 0 | 0.34 |