System Level Approaches for Mitigation of Long Duration Transient Faults in Future Technologies

2007 ◽  
Author(s):  
C.A. Lisboa ◽  
M.I. Erigson ◽  
L. Carro
Keyword(s):  
System Level ◽  
Transient Faults ◽  
Long Duration ◽  
Future Technologies

Asynchronous circuits as alternative for mitigation of long-duration transient faults in deep-submicron technologies

2010 ◽  
Vol 50 (9-11) ◽  
pp. 1241-1246 ◽  
Author(s):  
R.P. Bastos ◽  
G. Sicard ◽  
F. Kastensmidt ◽  
M. Renaudin ◽  
R. Reis
Keyword(s):  
Asynchronous Circuits ◽  
Deep Submicron ◽  
Transient Faults ◽  
Long Duration

Toward predictable, efficient, system-level tolerance of transient faults

2013 ◽  
Vol 10 (4) ◽  
pp. 53-56 ◽  
Author(s):  
Jiguo Song ◽  
Gabriel Parmer
Keyword(s):  
System Level ◽  
Transient Faults ◽  
Efficient System

scholarly journals Archiving Impact Data: The LDEF IDE Database

1996 ◽  
Vol 150 ◽  
pp. 209-212
Author(s):  
K. G. Paul
Keyword(s):  
North Carolina ◽  
Interplanetary Dust ◽  
Space Science ◽  
System Level ◽  
State University ◽  
North Carolina State University ◽  
Long Duration ◽  
Analytical Instrumentation ◽  
Langley Research Center ◽  
Impact Data

After the retrieval of the NASA Long Duration Exposure Facility (LDEF), postflight investigations started on the Interplanetary Dust Experiment (IDE). The time- and orientation resolved dataset was processed at the Institute for Space Science and Technology (ISST) in Gainesville, FL, residue chemistry analyses were conducted at the Analytical Instrumentation Facility at North Carolina State University (NCSU-AIF), Raleigh, NC, and system-level tests were performed at NASA Langley Research Center (LaRC) in Hampton, VA, among other investigators. With the end of the postflight investigation program it was considered compulsory to archive all data in a format that would facilitate future analyses.

scholarly journals A New Recovery Scheme Against Short-to-Long Duration Transient Faults in Combinational Logic

2013 ◽  
Vol 29 (3) ◽  
pp. 331-340 ◽  
Author(s):  
Rodrigo Possamai Bastos ◽  
Giorgio Di Natale ◽  
Marie-Lise Flottes ◽  
Feng Lu ◽  
Bruno Rouzeyre
Keyword(s):  
Combinational Logic ◽  
Transient Faults ◽  
Long Duration ◽  
Recovery Scheme

Derivation of Diagnostic Requirements for a Distributed UAV Turbofan Engine Control System

2008 ◽  
Vol 130 (2) ◽  
Author(s):  
Olof Hannius ◽  
Dan Ring ◽  
Johan Karlsson
Keyword(s):  
Control System ◽  
Control Systems ◽  
System Level ◽  
Engine Control ◽  
Transient Faults ◽  
Turbofan Engine ◽  
Intelligent Monitoring ◽  
Engine Control System ◽  
Permanent Faults ◽  
Analytical Redundancy

This paper presents a method for deriving requirements for the efficiency of diagnostic functions in distributed electronic turbofan engine control systems. Distributed engine control systems consist of sensor, actuator, and control unit nodes that exchange data over a communication network. The method is applicable to engine control systems that are partially redundant. Traditionally, turbofan engine control systems use dual channel solutions in which all units are duplicated. Our method is intended for analyzing the diagnostic requirements for systems in which a subset of the sensors and the actuators is nonredundant. Such systems rely on intelligent monitoring and analytical redundancy to detect and tolerate failures in the nonredundant units. These techniques cannot provide perfect diagnostic coverage and, hence, our method focuses on analyzing the impact of nonperfect diagnostic coverage on the reliability and safety of distributed engine control systems. The method is based on a probabilistic analysis that combines fault trees and Markov chains. The input parameters for these models include failure rates as well as several coverage factors that characterize the performance of the diagnostic functions. Since the use of intelligent monitoring can cause false alarms, i.e., an error is falsely indicated by a diagnostic function, the parameters also include a false alarm rate. The method was used to derive the diagnostic requirements for a hypothetical unmanned aerial vehicle engine control system. Given the requirement that an engine failure due to the control system is not allowed to occur more than ten times per million hours, the diagnostic functions in a node must achieve 99% error coverage for transient faults and 90–99% error coverage for permanent faults. The system-level diagnosis must achieve 90–95% detection coverage for node failures, which are not detected by the nodes themselves. These results are based on the assumption that transient faults are 100 times more frequent than permanent faults. It is important to have a method for deriving probabilistic requirements on diagnostic functions for engine control systems that rely on analytical redundancy as a means to reduce the hardware redundancy. The proposed method allows us to do this using an existing tool (FAULTTREE+) for safety and reliability analysis.

scholarly journals Benefit Analysis of Long-Duration Energy Storage in Power Systems with High Renewable Energy Shares

2020 ◽  
Vol 8 ◽  
Author(s):  
Jiazi Zhang ◽  
Omar J. Guerra ◽  
Joshua Eichman ◽  
Matthew A. Pellow
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Power Systems ◽  
Production Cost ◽  
Cost Model ◽  
Cost Savings ◽  
System Level ◽  
Long Duration ◽  
Storage Technologies ◽  
The Impact

The integration of high shares of variable renewable energy raises challenges for the reliability and cost-effectiveness of power systems. The value of long-duration energy storage, which helps address variability in renewable energy supply across days and seasons, is poised to grow significantly as power systems shift to larger shares of variable generation such as wind and solar. This study explores the system-level services and associated benefits of long-duration energy storage on the 2050 Western Interconnection (WI). The operation of the future WI system with 85% renewable penetration is simulated using a two-stage production cost model. The impact of long duration energy storage on systemwide operations is examined for the 2050 WI system, using a range of round-trip efficiencies corresponding to four different energy storage technologies. The analysis projects the energy storage dispatch profile, system-wide production cost savings (from both diurnal and seasonal operation), and impacts on generation mix, and change in renewable generation curtailment.

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