Distributed model-based sensor fault diagnosis of marine fuel engines

Distributed model-based sensor fault diagnosis of marine fuel engines

Kougiatsos, N. (TU Delft Transport Engineering and Logistics)
Negenborn, R.R. (TU Delft Transport Engineering and Logistics)
Reppa, V. (TU Delft Transport Engineering and Logistics)

2022

This paper proposes a distributed model-based methodology for the detection and isolation of sensor faults in marine fuel engines. The proposed method considers a Mean Value First Principle model and a wide selection of heterogeneous sensors for monitoring the engine components. The detection of faults is realised based on residuals generated using nonlinear Differential Algebraic estimators combined with adaptive thresholds. The isolation of faults is, then, realised in two levels; local sensor fault detection and isolation agents are designed to monitor specific sensor sets and aim to detect faults in these sets; and a global decision logic is designed to isolate multiple sensor faults that may be propagated between the local monitoring agents. Finally, simulation results are used to illustrate the application of this method and its efficiency.

Distributed Fault Diagnosis
sensor faults
Differential-algebraic equations (DAE's)
nonlinear systems
Marine system modelling
interconnected systems

http://resolver.tudelft.nl/uuid:9088c8f7-1202-446d-99b9-7663e3948709

https://doi.org/10.1016/j.ifacol.2022.07.153

1474-6670

IFAC-PapersOnLine, 55 (6), 347-353

11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2022, 2022-06-08 → 2022-06-10, Aliathon Resort, Pafos, Cyprus

Institutional Repository

journal article

© 2022 N. Kougiatsos, R.R. Negenborn, V. Reppa