Factor Analysis

Assembly Line

Application of AI to Oil Refineries and Petrochemical Plants

📅 Date:

✍️ Author: Tetsuya Ohtani

🔖 Topics: Failure Analysis, Factor Analysis, Anomaly Detection

🏭 Vertical: Petroleum and Coal

🏢 Organizations: Yokogawa

Artificial intelligent (AI), machine learning, data science, and other advanced technologies have been progressing remarkably, enabling computers to handle labor- and time-consuming tasks that used to be done manually. As big data have become available, it is expected that AI will automatically identify and solve problems in the manufacturing industry. This paper describes how AI can be used in oil refineries and petrochemical plants to solve issues regarding assets and quality.

Read more at Yokogawa Technical Report