This paper deals with finding optimal structures and redundant safety designs with minimal costs for series-Parallel multi state system (MSS) configurations subject to availability constraints using genetic algorithms...
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ISBN:
(纸本)9781629935881
This paper deals with finding optimal structures and redundant safety designs with minimal costs for series-Parallel multi state system (MSS) configurations subject to availability constraints using genetic algorithms as optimisation mean, since these biologically inspired evolution concepts showed stability, powerfulness, and effectiveness in solving such complex combinatorial optimisation tasks. The routine has been written in Matlab and the tests have been performed using some test data belonging to already existing models (Levitin, Lisnianski, and Ouzineb).
The approach for calculating the failure rate of a safety integrated circuit is used if the number of available test patterns is not sufficient. The safety integrated circuit can be structured in function blocks, that...
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ISBN:
(纸本)9781479904297
The approach for calculating the failure rate of a safety integrated circuit is used if the number of available test patterns is not sufficient. The safety integrated circuit can be structured in function blocks, that can be functionally compared to semiconductors with discrete structure. Failure models already known and applied for discrete semiconductors can be used to determine the failure rate of the individual function blocks. These models with their known failure rates serve as a reference for the safety integrated circuit function blocks. An advantage of this approach is that the internal safety integrated circuit structure can be taken into consideration when calculating the failure probability. The paper is based on the principles of the generic standard IEC 61508 Edition 2, 2010-04. Because new technologies lack field experience and a basis for evaluating certain risks, a conservative approach to determining failure rates has been emphasized as set forth in SN 29500.
Characterising a problem in terms of a system of equations is common to many branches of science and engineering. Due to their size, such systems are often described in a modular fashion by composition of individual e...
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Maintenance starts with reliable diagnostics. programming Logic Controllers (PLCs) are often equipped with a high degree of diagnostic procedures in order to ensure that the processing unit is functioning correctly. I...
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ISBN:
(纸本)9781629935881
Maintenance starts with reliable diagnostics. programming Logic Controllers (PLCs) are often equipped with a high degree of diagnostic procedures in order to ensure that the processing unit is functioning correctly. It is vital to verify that the system with its programme is still within a 'healthy' state, otherwise a safety function is called and the system is brought into a safe state, or if possible, defect and malfunctioning components are exchanged during operation and the process can continue without shutting down the system. However, when it comes to smaller devices such as intelligent sensors, embedded controller devices with the functionality of an e.g. PID (Proportional-Integral-Derivative), predictive controller, filter or analytical algorithm, which is embedded into a FPGA or micro-controller then diagnostics and verification methods are often not considered in the way they should be. For example, if an intelligent sensor system is not able to diagnose that the sensor-head is malfunctioning, but the sensor-head still provides some data, then the smart algorithm bases its calculation on wrong data, which can cause a dangerous situation. This paper investigates and shows recent results to combine diagnostic methods for small scale devices. Several safety-related structures are considered with a high degree of diagnostic coverage. The paper presents relevant procedures and structures to increase the reliability of small devices without utilising a full scale microcontroller system.
GPGPUs are increasingly being used to as performance accelerators for HPC (High Performance Computing) applications in CPU/GPU heterogeneous computing systems, including TianHe-1A, the world's fastest supercomputer...
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GPGPUs are increasingly being used to as performance accelerators for HPC (High Performance Computing) applications in CPU/GPU heterogeneous computing systems, including TianHe-1A, the world's fastest supercomputer in the TOP500 list, built at NUDT (National University of Defense Technology) last year. However, despite their performance advantages, GPGPUs do not provide built-in fault-tolerant mechanisms to offer reliability guarantees required by many HPC applications. By analyzing the SIMT (single-instruction, multiple-thread) characteristics of programs running on GPGPUs, we have developed PartialRC, a new checkpoint-based compiler-directed partial recomputing method, for achieving efficient fault recovery by leveraging the phenomenal computing power of GPGPUs. In this paper, we introduce our PartialRC method that recovers from errors detected in a code region by partially re-computing the region, describe a checkpoint-based faulttolerance framework developed on PartialRC, and discuss an implementation on the CUDA platform. Validation using a range of representative CUDA programs on NVIDIA GPGPUs against FullRC (a traditional full-recomputing Checkpoint-Rollback-Restart fault recovery method for CPUs) shows that PartialRC reduces significantly the fault recovery overheads incurred by FullRC, by 73.5% when errors occur earlier during execution and 74.6% when errors occur later on average. In addition, PartialRC also reduces error detection overheads incurred by FullRC during fault recovery while incurring negligible performance overheads when no fault happens.
This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical o...
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ISBN:
(纸本)9783902823434
This paper demonstrates model-based dynamic optimization through the coupling of two open source tools: OpenModelica, which is a Modelica-based modeling and simulation platform, and CasADi, a framework for numerical optimization. The coupling uses a standardized XML format for exchange of differential-algebraic equations (DAE) models. OpenModelica supports export of models written in Modelica and the optimization language extension using this XML format, while CasADi supports import of models represented in this format. This allows users to define optimal control problems (OCP) using Modelica and optimization language specification, and solve the underlying model formulation using a range of optimization methods, including direct collocation and direct multiple shooting. The proposed solution has been tested on several industrially relevant optimal control problems, including a dieselelectric power train.
Sensor communication applications not only require high performance processing but also flexible and reliable computing. Today, standard microprocessor systems are still application oriented and aren't suitable by...
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This scientific work presents a new method allowing to make a realistic prediction about software-reliability of critical systems. The main feature of this method enables the prediction of an estimate of the remaining...
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ISBN:
(纸本)9781622764365
This scientific work presents a new method allowing to make a realistic prediction about software-reliability of critical systems. The main feature of this method enables the prediction of an estimate of the remaining critical number of faults in the software. The algorithm uses already known methods such as Imperfect Debugging. This method can provide an even more reliable prognosis than the conventional methods. Furthermore, the new method describes two processes for critical failures (detection and correction process). The new algorithm considers a time, which is called repair-time. This time is important for the reliably prognosis and it is mathematically described as a time-function and used in the prediction model. The software reliability models (SRM's) are used since the 70's, these software reliability models are based on stochastic and aiming to predict the reliability for the software and also for the hardware. SRM's are based on model assumptions, some of which cannot be applied anymore. Thus, for the reliability engineering today, these models are insufficient.
This paper deals with achieving safe wireless communication for safety related systems with Bluetooth technology. In industries at present safe communication between the field bus/devices, PLC/controllers, and system/...
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ISBN:
(纸本)9781622764365
This paper deals with achieving safe wireless communication for safety related systems with Bluetooth technology. In industries at present safe communication between the field bus/devices, PLC/controllers, and system/applications (SCADA, DCS and MES systems) is achieved using safe wired industrial communication protocols such as safe field buses or safe Ethernet. To achieve safe communication, there are certain safety methods, these methods are discussed in the European standard document EN 50159-2. Wired industrial communication protocols implement these methods to achieve safe communication. To determine safety, mathematical equations are derived, which are suitable for wired communication, and which takes into account only the bit errors present in the transmission channel. As there are both bit errors and erasures (loss of information) present in the wireless channel, the mathematical equations derived for wired communication should also take into account erasure of information for wireless communication. This paper derives the mathematical equations for wireless communication to determine the safety and with the implemented safety methods for Bluetooth technology;safety integrity level SIL3 achieved is shown.
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