scholarly journals Modeling, analysis and performance evaluation for fault diagnosis and Fault Tolerant Control in bottle-filling plant modeled using Hybrid Petri nets

2013 ◽  
Vol 37 (7) ◽  
pp. 4842-4859 ◽  
Author(s):  
K. Renganathan ◽  
Vidhyacharan Bhaskar
Keyword(s):  
Performance Evaluation ◽  
Fault Diagnosis ◽  
Petri Nets ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Hybrid Petri Nets ◽  
Modeling Analysis ◽  
And Performance

Fault tolerant control design via hybrid petri nets

2010 ◽  
Vol 12 (5) ◽  
pp. 586-596 ◽  
Author(s):  
Hao Yang ◽  
Bin Jiang ◽  
Vincent Cocquempot ◽  
Peng Shi
Keyword(s):  
Petri Nets ◽  
Fault Tolerant ◽  
Control Design ◽  
Fault Tolerant Control ◽  
Hybrid Petri Nets

scholarly journals Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies

2010 ◽  
Vol 20 (4) ◽  
pp. 619-635 ◽  
Author(s):  
Vicenç Puig
Keyword(s):  
Fault Diagnosis ◽  
Case Studies ◽  
Fault Tolerant ◽  
Parametric Uncertainty ◽  
Fault Tolerant Control ◽  
System Model ◽  
Real Case ◽  
Set Membership ◽  
And Performance ◽  
Simple Sets

Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studiesThis paper reviews the use ofset-membership methodsinfault diagnosis(FD) andfault tolerant control(FTC). Setmembership methods use a deterministic unknown-but-bounded description of noise and parametric uncertainty (interval models). These methods aims at checking the consistency between observed and predicted behaviour by using simple sets to approximate the exact set of possible behaviour (in theparameteror thestate space). When an inconsistency is detected between the measured and predicted behaviours obtained using a faultless system model, a fault can be indicated. Otherwise, nothing can be stated. The same principle can be used to identify interval models for fault detection and to develop methods for fault tolerance evaluation. Finally, some real applications will be used to illustrate the usefulness and performance of set-membership methods for FD and FTC.

scholarly journals Modeling and Fault Diagnosis of Interturn Short Circuit for Five-Phase Permanent Magnet Synchronous Motor

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jian-wei Yang ◽  
Man-feng Dou ◽  
Zhi-yong Dai
Keyword(s):  
Parameter Estimation ◽  
Fault Diagnosis ◽  
Permanent Magnet ◽  
Fault Tolerant ◽  
Short Circuit ◽  
Estimation Method ◽  
Trust Region ◽  
Fault Tolerant Control ◽  
Trust Region Algorithm ◽  
Parameter Estimation Method

Taking advantage of the high reliability, multiphase permanent magnet synchronous motors (PMSMs), such as five-phase PMSM and six-phase PMSM, are widely used in fault-tolerant control applications. And one of the important fault-tolerant control problems is fault diagnosis. In most existing literatures, the fault diagnosis problem focuses on the three-phase PMSM. In this paper, compared to the most existing fault diagnosis approaches, a fault diagnosis method for Interturn short circuit (ITSC) fault of five-phase PMSM based on the trust region algorithm is presented. This paper has two contributions. (1) Analyzing the physical parameters of the motor, such as resistances and inductances, a novel mathematic model for ITSC fault of five-phase PMSM is established. (2) Introducing an object function related to the Interturn short circuit ratio, the fault parameters identification problem is reformulated as the extreme seeking problem. A trust region algorithm based parameter estimation method is proposed for tracking the actual Interturn short circuit ratio. The simulation and experimental results have validated the effectiveness of the proposed parameter estimation method.

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