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Sensor fault diagnosis based on energy balance evaluation: application to a metal processing
D Theilliol1, H Noura, D Sauter
1CRAN-UMR CNRS 7033, Faculté des Sciences et Techniques, Boîte Postalee 239, 54506 Vandoeuvre Cedex, France.
ISA Transactions
|October 27, 2006
Summary
This study introduces a novel fault detection method for closed-loop systems using energy balance, eliminating the need for complex models. The technique effectively identifies sensor faults in dynamic industrial processes.
Area of Science:
- Control Systems Engineering
- Industrial Process Monitoring
- Fault Diagnosis
Background:
- Dynamic closed-loop systems are crucial in industrial processes.
- Accurate system models are often unavailable or difficult to obtain.
- Sensor faults can significantly disrupt operations and compromise safety.
Purpose of the Study:
- To design a residual generator for fault detection and isolation (FDI).
- To develop an FDI technique for single-input single-output (SISO) closed-loop systems.
- To address FDI challenges in the absence of precise system models.
Main Methods:
- Utilizes the principle of energy balance (energy in vs. energy out).
- Employs on-line energy balance evaluation for fault detection.
- Focuses on major signals without requiring detailed static or dynamic models.
Main Results:
- Successfully developed a fault detection and isolation technique.
- Demonstrated effectiveness in detecting sensor faults.
- Validated the approach on a galvanizing line in the steel industry.
Conclusions:
- The proposed energy balance method is effective for FDI in closed-loop systems.
- The technique is model-independent, offering flexibility in application.
- Sensor fault detection in industrial settings can be achieved reliably.
