Integrating Bond Graph-Based Fault Diagnosis and Fault Accommodation Through Inverse Simulation

2017 ◽  
pp. 139-193
Author(s):  
W. Borutzky
Keyword(s):  
Fault Diagnosis ◽  
Bond Graph ◽  
Inverse Simulation ◽  
Fault Accommodation

Fault Diagnosis Based on Qualitative Bond Graph and Genetic Algorithms

2001 ◽  
Vol 34 (22) ◽  
pp. 431-436
Author(s):  
C.H. Lo ◽  
Y.K. Wong ◽  
A.B. Rad ◽  
Y.L. Ip
Keyword(s):  
Genetic Algorithms ◽  
Fault Diagnosis ◽  
Bond Graph

Bond graph based Bayesian network for fault diagnosis

2011 ◽  
Vol 11 (1) ◽  
pp. 1208-1212 ◽  
Author(s):  
C.H. Lo ◽  
Y.K. Wong ◽  
A.B. Rad
Keyword(s):  
Fault Diagnosis ◽  
Bayesian Network ◽  
Bond Graph

scholarly journals Fault monitoring and fault recovery control for position-moored vessels

2011 ◽  
Vol 21 (3) ◽  
pp. 467-478 ◽  
Author(s):  
Shaoji Fang ◽  
Mogens Blanke
Keyword(s):  
Fault Diagnosis ◽  
Position Control ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Mooring Line ◽  
Fault Recovery ◽  
Recovery Algorithm ◽  
Fault Accommodation ◽  
Fault Monitoring ◽  
Non Gaussian

Fault monitoring and fault recovery control for position-moored vessels This paper addresses fault-tolerant control for position mooring of a shuttle or floating production storage and offloading vessels. A complete framework for fault diagnosis is presented. A loss of a sub-sea mooring line buoyancy element and line breakage are given particular attention, since such failures might cause high-risk abortion of an oil-loading operation. With significant drift forces from waves, non-Gaussian elements dominate forces and the residuals designed for fault diagnosis. Hypothesis testing is designed using dedicated change detection for the type of distribution encountered. A new position recovery algorithm is proposed as a means of fault accommodation in order to keep the mooring system in a safe state, despite faults. The position control is shown to be capable of accommodating serious failures and preventing breakage of a mooring line, or a loss of a buoyancy element, from causing subsequent failures. Properties of the detection and fault-tolerant control algorithms are demonstrated by high fidelity simulations.

scholarly journals An Active Fault-Tolerant Control Method Ofunmanned Underwater Vehicles with Continuous and Uncertain Faults

10.5772/6230 ◽  
2008 ◽  
Vol 5 (4) ◽  
pp. 37 ◽  
Author(s):  
Daqi Zhu ◽  
Qian Liu ◽  
Yongsheng Yang
Keyword(s):  
Fault Diagnosis ◽  
Control Method ◽  
Fault Tolerant ◽  
Underwater Vehicles ◽  
Credit Assignment ◽  
Fault Accommodation ◽  
Weighting Matrix ◽  
On Line ◽  
Abrupt Faults ◽  
Pseudo Inverse

This paper introduces a novel thruster fault diagnosis and accommodation system for open-frame underwater vehicles with abrupt faults. The proposed system consists of two subsystems: a fault diagnosis subsystem and a fault accommodation sub-system. In the fault diagnosis subsystem a ICMAC(Improved Credit Assignment Cerebellar Model Articulation Controllers) neural network is used to realize the on-line fault identification and the weighting matrix computation. The fault accommodation subsystem uses a control algorithm based on weighted pseudo-inverse to find the solution of the control allocation problem. To illustrate the proposed method effective, simulation example, under multi-uncertain abrupt faults, is given in the paper.

Bond Graph Model-Based Fault Diagnosis

2011 ◽  
pp. 227-265 ◽  
Author(s):  
S.K. Ghoshal ◽  
A.K. Samantaray
Keyword(s):  
Fault Diagnosis ◽  
Graph Model ◽  
Bond Graph ◽  
Model Based
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