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Guest Editorial: Special Section on Reliability, Resilience, and Prognostics Modeling of Complex Engineering Systems

Steven Li
2018 IEEE Transactions on Reliability  
The first paper entitled, "A method to improve the robustness of gas turbine gas-path fault diagnosis against sensor faults," by Jingchao Li and Yulong Ying, presents a nonlinear gas path analysis method  ...  to improve the robustness of existing gas-path fault diagnosis method against degrading sensor faults.  ...  The sixth paper entitled, "Robustness of subset simulation to functional forms of limit state functions in system reliability analysis: revisiting and improvement," by Zhi-Yong Yang, Zi-Jun Cao, Dian-Qing  ... 
doi:10.1109/tr.2018.2807198 fatcat:3xptlnv7nvhttei23cvncmvxny

Revisiting Vulnerability Analysis in Modern Microprocessors

Michail Maniatakos, Maria Michael, Chandra Tirumurti, Yiorgos Makris
2015 IEEE transactions on computers  
The notion of Architectural Vulnerability Factor (AVF) has been extensively used to evaluate various aspects of design robustness.  ...  Furthermore, recent radiation studies in 90 nm and 65 nm technology nodes demonstrate that up to 55 percent of Single Event Upsets (SEUs) result in Multiple Bit Upsets (MBUs), and thus the Single Bit Flip  ...  analysis and (ii) revisiting vulnerability estimation in future technology nodes.  ... 
doi:10.1109/tc.2014.2375232 fatcat:s5fc2tucyveptanfysvza64qmi

An Analysis of a Ring Attractor Model for Cue Integration [chapter]

Xuelong Sun, Michael Mangan, Shigang Yue
2018 Lecture Notes in Computer Science  
In addition, performance is shown robust to noise and miniaturization and thus provides an efficient solution for artificial systems.  ...  Animals and robots must constantly make sense of multiple streams of noisy information gathered from the environment, and combine them appropriately to make improved decisions.  ...  The author thanks Kate Jeffery and Hector Page for providing the data of re-weighting model and the biological experiment. shall we do the acknowledge in this way for providing us the raw data?  ... 
doi:10.1007/978-3-319-95972-6_49 fatcat:iflz3rwmjfdbrgqqdbmhoh3avy

Human Reliability Analysis for Oil and Gas Operations: Analysis of Existing Methods [article]

Marilia Ramos, Camille Major, Nsimah Ekanem, Cesar Malpica, Ali Mosleh
2021 arXiv   pre-print
Human Reliability Analysis (HRA) allows for the assessment of the human contribution to risk to be assessed both qualitatively and quantitatively.  ...  Most credible and highly advanced HRA methods have largely been developed and applied in support of nuclear power plants control room operations and in context of probabilistic risk analysis.  ...  of simulators of the plant and analysis of how operators react in hazardous situations, when interacting with the simulator.  ... 
arXiv:2109.14096v1 fatcat:orqis5yoanfqrk4ey47mjxnctq

Performance Analysis of Optimal Blind Fusion of Bits

Jean-Pierre Delmas, Yann Meurisse
2007 IEEE Transactions on Signal Processing  
Finally, the optimal fusion rule is revisited and our theoretical results are compared to Monte Carlo simulations.  ...  This paper is devoted to a statistical performance analysis of blind estimation of bit error rates (BERs) of a bank of detectors, using empirical estimation algorithms that have appeared in the literature  ...  Finally, the optimal fusion rule is revisited and our theoretical results are compared with Monte Carlo simulations. Fig. 1 . 1 Blind bit fusion.  ... 
doi:10.1109/tsp.2006.890818 fatcat:jveep2qrxnc2fc2ud4tregogxi

Measurement location analysis for information embedded power systems

Tiffany L. Lakins, Chika O. Nwankpa
2015 2015 IEEE International Symposium on Circuits and Systems (ISCAS)  
A process for this selection is presented in the work, where the effect of both network and power system perturbations such as measurement distortion and load change are analyzed to aid in the decision-making  ...  With the advent of various smart grid implementations, it has become feasible and perhaps suggested, to investigate the preferred location for measurement reference.  ...  Since one of the main objectives in any power system is observability [5] , an accurate and reliable means to monitor the status of a power system is crucial to quality assurance and system security.  ... 
doi:10.1109/iscas.2015.7169025 dblp:conf/iscas/LakinsN15 fatcat:kz4yuwqjtzakrb5zro3w7lqxlq

Experimental program analysis

Joseph R. Ruthruff, Sebastian Elbaum, Gregg Rothermel
2006 Proceedings of the 2006 international symposium on Software testing and analysis - ISSTA'06  
, and (5) mechanisms to generate confidence measures in the reliability and validity of the results.  ...  Program analysis techniques are used by software engineers to deduce and infer characteristics of software systems.  ...  improve its cost-effectiveness, and with statistical tests to improve the reliability of its results.  ... 
doi:10.1145/1146238.1146245 dblp:conf/issta/RuthruffER06 fatcat:fq7fh7pjwvfftkxmkprvikrsue

Experimental program analysis

Joseph R. Ruthruff, Sebastian Elbaum, Gregg Rothermel
2010 Information and Software Technology  
, and (5) mechanisms to generate confidence measures in the reliability and validity of the results.  ...  Program analysis techniques are used by software engineers to deduce and infer characteristics of software systems.  ...  improve its cost-effectiveness, and with statistical tests to improve the reliability of its results.  ... 
doi:10.1016/j.infsof.2009.10.002 fatcat:yec7z57bevek7mj73ecg2kzurq

Experimental program analysis

Joseph R. Ruthruff
2006 Proceeding of the 28th international conference on Software engineering - ICSE '06  
, and (5) mechanisms to generate confidence measures in the reliability and validity of the results.  ...  Program analysis techniques are used by software engineers to deduce and infer characteristics of software systems.  ...  improve its cost-effectiveness, and with statistical tests to improve the reliability of its results.  ... 
doi:10.1145/1134285.1134467 dblp:conf/icse/Ruthruff06 fatcat:f5pham7twrhphnv5c76a3jm3ne

Composite Hybrid Framework for Through-Life Multi-Objective Failure Analysis and Optimisation

Frederick Appoh, Akilu Yunusa-Kaltungo
2021 IEEE Access  
To improve the reliability, availability, and safety of engineering systems, studies have investigated dynamic machine learning (ML) techniques for early fault detection and diagnosis in asset-intensive  ...  engineering systems in consideration of their failures, reliability, maintenance, and risk.  ...  Yunusa-Kaltungo is currently a member of several industrial and academic committees and working groups including Institution of Mechanical Engineers (IMechE) Safety & Reliability Working Group (SRWG) and  ... 
doi:10.1109/access.2021.3077284 fatcat:odz47z6uefhpjmgre323j5fyb4

Quantitative LEED analysis using a simultaneous optimization algorithm

M Blanco-Rey, K Heinz, P L de Andres
2008 Journal of Physics: Condensed Matter  
SO optimises structures taking advantage of the experimental database at two levels: (i) conmensurate subsets of the database with the number of unknown parameters are chosen to find local solutions using  ...  Broyden's method and, (ii) these partial structural solutions are used to build a Markov chain over the whole database.  ...  Both fits are equally favourable, as they lie within the systematic error limits of the LEED analysis.  ... 
doi:10.1088/0953-8984/20/30/304201 fatcat:zyhanhmymnbobbnnswptuk7ryq

Intelligent Software Web Agents: A Gap Analysis [article]

Sabrina Kirrane
2021 arXiv   pre-print
In order to better understand the existing technological opportunities and challenges, in this paper we examine the status quo in terms of intelligent software web agents, guided by research with respect  ...  We subsequently propose a hybrid semantic web agent architecture, and use the various components and subcomponents in order to provide a focused discussion on the role played by existing semantic web standards  ...  Acknowledgments This research is funded by the FWF Austrian Science Fund and the Internet Foundation Austria under the FWF Elise Richter and netidee SCIENCE programmes as project number V 759-N.  ... 
arXiv:2102.06607v3 fatcat:5hqx4c6vevbonmyjetipw4ljyu

Performance Analysis of Satellite Missions for Multi-Temporal SAR Interferometry

Fabio Bovenga, Antonella Belmonte, Alberto Refice, Guido Pasquariello, Raffaele Nutricato, Davide Nitti, Maria Chiaradia
2018 Sensors  
A new and interesting opportunity is provided by Sentinel-1, which has a spatial resolution comparable to that of previous ESA C-band sensors, and revisit times improved by up to 6 days.  ...  According to these different SAR space-borne missions, the present work discusses current and future opportunities of MTI applications in terms of ground instability monitoring.  ...  The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.  ... 
doi:10.3390/s18051359 pmid:29702588 pmcid:PMC5982685 fatcat:s3kpaufaezatrjsxurd42y3jmu

A Bayesian cluster analysis method for single-molecule localization microscopy data

Juliette Griffié, Michael Shannon, Claire L Bromley, Lies Boelen, Garth L Burn, David J Williamson, Nicholas A Heard, Andrew P Cope, Dylan M Owen, Patrick Rubin-Delanchy
2016 Nature Protocols  
We present the process of generating simulated and experimental data which are suitable for our algorithm, the analysis itself, and the extraction and interpretation of key cluster descriptors such as  ...  Three features of such data cause standard cluster analysis approaches to be ineffective: the data take the form of a list of points rather than a pixel array; there is a non-negligible unclustered background  ...  The clustering of molecules in biological systems is often critical to their function and therefore cluster analysis on data obtained from microscopy is an important analytical method.  ... 
doi:10.1038/nprot.2016.149 pmid:27854362 fatcat:rxh4bjb5onewxm2gf3dhemnesq

DChaos: An R Package for Chaotic Time Series Analysis

Julio,E. Sandubete, Lorenzo Escot
2021 The R Journal  
To sum up, the DChaos package allows the R users to test robustly the hypothesis of chaos in order to know if the data-generating process behind time series behaves chaotically or not.  ...  Chaotic systems are non-linear deterministic dynamic systems which can behave like an erratic and apparently random motion.  ...  of Economics); and the Data Analysis in Social and Gender Studies and Equality Policies Research Group (www.ucm.es/aedipi/).  ... 
doi:10.32614/rj-2021-036 fatcat:nz6d4o7t25a25iqbfvjb4cpt7u
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