Fault Detection and Control Systems

Fault Detection and Control Systems is a research topic within Control and Systems Engineering. Science Explorer counts 85k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of various data-driven and statistical techniques for process fault detection and diagnosis in industrial settings. It covers topics such as process monitoring, fault isolation, soft sensors, model-based diagnosis, and the use of machine learning in analyzing and improving industrial processes.

• Process Monitoring
• Fault Detection
• Data-Driven Techniques
• Statistical Analysis
• Soft Sensors
• Model-Based Diagnosis
• Industrial Processes
• Multivariate Statistical Methods
• Fault Isolation
• Machine Learning