Distributed model-based sensor fault diagnosis of marine fuel engines

被引：5

作者：

Kougiatsos, Nikos ^{[1
]}

Negenborn, Rudy R. ^{[1
]}

Reppa, Vasso ^{[1
]}

机构：

[1] Delft Univ Technol, Fac Mech Maritime & Mat Engn, Dept Maritime & Transport Technol, NL-2628 CD Delft, Netherlands

来源：

IFAC PAPERSONLINE | 2022年 / 55卷 / 06期

基金：

荷兰研究理事会;

关键词：

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

D O I：

10.1016/j.ifacol.2022.07.153

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2022 The Authors.

引用

页码：347 / 353

页数：7

共 15 条

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