EE60059: Process Monitoring And Fault Diagnosis
| EE60059 | |||||||||||||||||||||||||||
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| Course name | Process Monitoring And Fault Diagnosis | ||||||||||||||||||||||||||
| Offered by | Electrical Engineering | ||||||||||||||||||||||||||
| Credits | 3 | ||||||||||||||||||||||||||
| L-T-P | 3-0-0 | ||||||||||||||||||||||||||
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| Semester | Spring | ||||||||||||||||||||||||||
Syllabus
Syllabus mentioned in ERP
Introduction: Managements of sensors and signals - placement of sensors, Choice of Status Signals, Alarm generation and management, Direct monitoring of fault based on process signals. Feature extraction for fault detection -Techniques based on statistical testing, Pattern recognition and neural networks. Model-based Fault Detection and Diagnosis Methodologies - Precess Modelling for monitoring and diagnosis; Analytical redundancy technique, State estimation and Kalman filtering, Parameter estimation methods. Knowledge-Based Fault Detection: Fundamentals of knowledge-based systems, Graph based approach, Fuzzy logic based reasoning, Expert systems for fault detection. Illustrative application from areas such as analog and digital circuits, Analytical instruments, Electric motors and transformers, Chemical plants, Heat exchangers, Power generation plants. Software and hardware tools for monitoring and fault detection.