Practical Deadlock-Free Fault-Tolerant Routing in Meshes Based on the Planar Network Fault Model

2009 ◽  
Vol 58 (5) ◽  
pp. 620-633 ◽  
Author(s):  
Dong Xiang ◽  
Yueli Zhang ◽  
Yi Pan
Keyword(s):  
Fault Tolerant ◽  
Fault Model ◽  
Planar Network ◽  
Network Fault

Design of Self-Tuning Fuzzy Control and Fault Tolerant Error Control Coding Based on Graphic User Interface for Smart Hybrid Powerpack

2014 ◽  
Vol 574 ◽  
pp. 528-533
Author(s):  
Jek Wang Choi ◽  
Lei Lei Shi ◽  
Li Jun Wu ◽  
Hyeon Woo Kim ◽  
Iksu Choi ◽  
...  
Keyword(s):  
User Interface ◽  
Fuzzy Control ◽  
Intelligent Control ◽  
High Speed ◽  
Error Control ◽  
Fault Tolerant ◽  
Graphic User Interface ◽  
Error Control Coding ◽  
Self Tuning ◽  
Network Fault

The Smart Hybrid Powerpack (SHP) is an electro-hydraulic system which combines the system of Electro Hydraulic Actuator (EHA) and advanced technologies such as network fault tolerance and intelligent control. EHA system has been famous in the industry because that the EHA acts as a power-shift which shifts the power from high-speed electric motor to the high-force of hydraulic cylinder by bi-directional piston pump. If errors in the plant and network occur in the SHP, the system will cause serious malfunctions. To reduce plant noises and network errors, this paper shows the intelligent control method comparing Self-tuning fuzzy with fuzzy control and network fault tolerant error control coding in the SHP. In the intelligent control part, the simulation result shows good performance to reduce plant noises by the self-tuning fuzzy than fuzzy control. In the network fault tolerant error control coding part, proposed scheme also shows good performance by CRC code and Reed-Solomon (R-S) code in two channel (CRT) method than one channel only. We developed LabVIEW Graphic User Interface (GUI) to show these simulation results. Using this GUI, we can save time to experiment and get benefit of guidance to make real program.

A Study on Fault Model and Fault-Tolerant Routing for Sensor Networks

2012 ◽  
Vol 182-183 ◽  
pp. 1265-1269
Author(s):  
Zu Ming Xu ◽  
Xiong Fu
Keyword(s):  
Sensor Networks ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Fault Tolerant ◽  
Network Reliability ◽  
Fault Model ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Fault Models ◽  
Energy Aware

Wireless sensor networks require energy-efficient and robust routingprotocols. Most routing protocols for sensor networks try to extendnetwork lifetime by minimizing the energy consumption, but have not taken the network reliability into account. In this paper, we analyze the fault models and propose an ENergy-aware FAult-tolerantRouting scheme, termed as ENFAR. Firstly a link-based uniform fault model is presented, and we adopt a cross-layer design to measurethe transmission delay so as to detect the failed nodes.

Research on Stator Winding Inter Turn Short-Circuit Faults of Aeronautical Fault-Tolerant Machine Based on Maxwell 2D

2011 ◽  
Vol 130-134 ◽  
pp. 119-123
Author(s):  
Ming Zhang ◽  
Yi Ming Zhang ◽  
Jiang Tao Tong
Keyword(s):  
Fault Tolerant ◽  
Short Circuit ◽  
Fault Model ◽  
Stator Winding ◽  
High Power Density ◽  
Induced Voltage ◽  
Magnetic Field Simulation ◽  
Voltage Frequency ◽  
Solid Foundation ◽  
Short Circuit Fault

Stator winding inter turn short-circuit fault is one of the most common internal faults of fault-tolerant machine, which can disconnect the fault phases and keep operating correctly in the event of a failure. Stator winding short-circuit fault model is established through analysis. Based on finite element method, the high-power density fault-tolerant machine internal magnetic field simulation and analysis is implemented using Maxwell2D and induced voltage frequency spectrum is analyzed by FFT method. The characteristics of stator winding short-circuit faults are summarized, which lay a solid foundation for fault-tolerant machine earlier faults prediction and winding switching.

scholarly journals Test

2021 ◽  
pp. 381-391
Author(s):  
Peter Marwedel
Keyword(s):  
Physical System ◽  
Fault Tolerant ◽  
Fault Injection ◽  
Fault Simulation ◽  
Fault Coverage ◽  
Fault Model ◽  
Pattern Generation ◽  
Signature Analysis ◽  
Fault Tolerant Systems ◽  
Random Patterns

AbstractUnfortunately, we cannot rely on designed and possibly already manufactured systems to operate as expected. These systems may have become defective during their use, or their function may have been compromised during the fabrication or their design. The purpose of testing is to verify whether or not an existing embedded/cyber-physical system can be operated as expected. In this chapter, we will present fundamental terms and techniques for testing. There will be a brief introduction to the aims of test pattern generation and their application. We will be introducing terms such as fault model, fault coverage, fault simulation, and fault injection. Also, we will be presenting techniques which improve testability, including the generation of pseudo-random patterns, and signature analysis. It would be beneficial to consider testability issues already during design. In case of fault-tolerant systems, resilience must be verified.

An active fault-tolerant control strategy of aircraft engines based on multi-model predictive control

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Xian Du ◽  
Yan-Hua Ma
Keyword(s):  
High Pressure ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Active Fault ◽  
Fault Tolerant ◽  
Control Sample ◽  
Fault Model ◽  
Aircraft Engines ◽  
Component Level ◽  
Predictive Controller

AbstractIn order to mitigate or even eliminate the adverse effects caused by typical components faults of aircraft engines, an active fault-tolerant strategy based on multi-model predictive control is proposed, which consists of a pre-established multi-model library, a judgement module, and corresponding predictive controllers with smooth transition switching logic. Multiple dynamic nonlinear or linear models are firstly established by means of system identification methods, based on the component-level nonlinear engine model or historical data in faults cases. The judgement module is utilized to online compare the engine measured outputs with that of all models in the pattern library and select the best matched dynamic model on the basis of outputs error quadratic performance index, thus determining the most appropriate predictive controller for the next control sample period. When a certain fault occurs, the fault model in the library could be identified and fault-model based predictive controller is activated. Finally, two kinds of pre-considered high-pressure compressor and high-pressure turbine component-level faults are taken as an example to design the active fault-tolerant controller. Simulation results show that the judgement module owns the ability to sense the fault and gives smooth switching signal to the suitable predictive controller, verifying the effectiveness of the proposed technique.

scholarly journals Generalized Paxos Made Byzantine (and Less Complex)

Algorithms ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 141
Author(s):  
Miguel Pires ◽  
Srivatsan Ravi ◽  
Rodrigo Rodrigues
Keyword(s):  
Fault Tolerant ◽  
Fault Model ◽  
Correctness Proof ◽  
Safety Condition ◽  
Byzantine Fault ◽  
Simple Implementation

One of the most recent members of the Paxos family of protocols is Generalized Paxos. This variant of Paxos has the characteristic that it departs from the original specification of consensus, allowing for a weaker safety condition where different processes can have a different views on a sequence being agreed upon. However, much like the original Paxos counterpart, Generalized Paxos does not have a simple implementation. Furthermore, with the recent practical adoption of Byzantine fault tolerant protocols in the context of blockchain protocols, it is timely and important to understand how Generalized Paxos can be implemented in the Byzantine model. In this paper, we make two main contributions. First, we attempt to provide a simpler description of Generalized Paxos, based on a simpler specification and the pseudocode for a solution that can be readily implemented. Second, we extend the protocol to the Byzantine fault model, and provide the respective correctness proof.

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