Robust fault diagnosis of chemical system by using uncertain bond graph model

2011 ◽  
Author(s):  
R E Harabi ◽  
B O Bouamama ◽  
M K Ben Gayed ◽  
M N Abdelkrim
Keyword(s):  
Fault Diagnosis ◽  
Graph Model ◽  
Bond Graph ◽  
Chemical System

Structural Fault Diagnosis of a Reciprocating Compressor Using Bond Graph Approach

2012 ◽  
Author(s):  
Ehsan Mollasalehi ◽  
Seyed Abdolali Zareian Jahromi ◽  
Mario Forcinito ◽  
Wei Hu ◽  
Qiao Sun
Keyword(s):  
Fault Diagnosis ◽  
Failure Modes ◽  
Graph Model ◽  
Element Model ◽  
Bond Graph ◽  
Good Representation ◽  
Reciprocating Compressor ◽  
Exterior Surface ◽  
Root Cause ◽  
Prediction Capability

Condition monitoring and fault diagnosis of operating machinery have been of the main interests for many years. Existing systems employ data driven models which has limited prediction capability. On the contrary, a physics based model can predict phenomena that the system has not seen before. It also provides a means for root cause analysis. However, major obstacles include the complexity involved and real-time feasibility. In this paper, we use the bond graph technique to construct an analytical, physics-based model. We use a reciprocating compressor as an example since it is a good representation of multi-domain processes with a variety of possible failure modes. The bond graph model is cross examined with a finite element model and ultimately validated. To show how one can benefit from this approach, cracked piston rod is simulated to generate vibration signals that can potentially be picked up from accelerometers mounted on the exterior surface of the compressor.

scholarly journals Autonomous vehicle traction subsystem modeling and diagnosis using BG-PCs

10.29007/qj7v ◽  
2018 ◽  
Author(s):  
Carlos Alonso-González ◽  
Anibal Bregon ◽  
Belarmino Pulido ◽  
Matías Nacusse ◽  
Sergio Junco
Keyword(s):  
Fault Diagnosis ◽  
Autonomous Vehicles ◽  
Health Management ◽  
Autonomous Vehicle ◽  
Graph Model ◽  
Bond Graph ◽  
Efficient Operation ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Maintenance Requirements

Fault diagnosis is an essential part in the Health Management of autonomous vehicles. Within these vehicles the traction subsystem is a critical component, especially in those exploring planetary surfaces. Recent advances in brushless DC motors has raised the interest in new models and control configurations to integrate them in those vehicles due to their low energy consumption high torque/- mass ratio and low maintenance requirements. In this work we develop a full Bond Graph model of this subsystem, including the brushless motor and the control blocks needed for proper and efficient operation. These models will allow us to perform fault diagnosis with Bond Graph Possible Conflicts as the unifying formalism. We derive the Bond Graph-Possible Conflicts of the system, discussing the viability of the proposal.

Bond Graph Model Based For Robust Fault Diagnosis

2007 ◽  
Author(s):  
M. A. Djeziri ◽  
R. Merzouki ◽  
B. Ould Bouamama ◽  
G. Dauphin-Tanguy
Keyword(s):  
Fault Diagnosis ◽  
Graph Model ◽  
Bond Graph ◽  
Model Based

Error Analysis for Correlation Algorithm Based Servo Valve Frequency Characteristic Measurement

2011 ◽  
Vol 128-129 ◽  
pp. 1438-1442
Author(s):  
Hua Yao Chang ◽  
Jun Zheng Wang ◽  
Jiang Bo Zhao ◽  
Shou Kun Wang
Keyword(s):  
Fault Diagnosis ◽  
Fault Tree ◽  
Back Propagation ◽  
Graph Model ◽  
Bond Graph ◽  
Effect Analysis ◽  
Variable Pitch ◽  
Cause And Effect ◽  
Cause And Effect Analysis ◽  
Pitch System

A fault diagnosis based on bond graph model is proposed for hydraulic variable pitch system. Because the knowledge representation of bond graph model can provide information of cause and effect between components, a bond graph model of hydraulic variable pitch system is given above rated wind speed. A fault tree, using cause and effect analysis by back propagation, is developed. Qualitative value of parameters is assigned and the fault source is detected by analyzing boundary parameters of fault tree. Comparing with quantitative fault diagnosis based on model, the bond graph fault diagnosis is more flexible and has good completeness.

Fault Diagnosis Based on Bond Graph for Hydraulic Variable Pitch System

2011 ◽  
Vol 48-49 ◽  
pp. 1401-1405
Author(s):  
Xi Yun Yang ◽  
Wei Liu ◽  
Jin Xia Li
Keyword(s):  
Fault Diagnosis ◽  
Fault Tree ◽  
Back Propagation ◽  
Graph Model ◽  
Bond Graph ◽  
Effect Analysis ◽  
Variable Pitch ◽  
Cause And Effect ◽  
Cause And Effect Analysis ◽  
Pitch System

A fault diagnosis based on bond graph model is proposed for hydraulic variable pitch system. Because the knowledge representation of bond graph model can provide information of cause and effect between components, a bond graph model of hydraulic variable pitch system is given above rated wind speed. A fault tree, using cause and effect analysis by back propagation, is developed. Qualitative value of parameters is assigned and the fault source is detected by analyzing boundary parameters of fault tree. Comparing with quantitative fault diagnosis based on model, the bond graph fault diagnosis is more flexible and has good completeness.

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