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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Lifetime reliability of multi-core systems: modeling and applications.

January 2011 (has links)
Huang, Lin. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 218-232). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Preface --- p.1 / Chapter 1.2 --- Background --- p.5 / Chapter 1.3 --- Contributions --- p.6 / Chapter 1.3.1 --- Lifetime Reliability Modeling --- p.6 / Chapter 1.3.2 --- Simulation Framework --- p.7 / Chapter 1.3.3 --- Applications --- p.9 / Chapter 1.4 --- Thesis Outline --- p.10 / Chapter I --- Modeling --- p.12 / Chapter 2 --- Lifetime Reliability Modeling --- p.13 / Chapter 2.1 --- Notation --- p.13 / Chapter 2.2 --- Assumption --- p.16 / Chapter 2.3 --- Introduction --- p.16 / Chapter 2.4 --- Related Work --- p.19 / Chapter 2.5 --- System Model --- p.21 / Chapter 2.5.1 --- Reliability of A Surviving Component --- p.22 / Chapter 2.5.2 --- Reliability of a Hybrid k-out-of-n:G System --- p.26 / Chapter 2.6 --- Special Cases --- p.31 / Chapter 2.6.1 --- Case I: Gracefully Degrading System --- p.31 / Chapter 2.6.2 --- Case II: Standby Redundant System --- p.33 / Chapter 2.6.3 --- Case III: l-out-of-3:G System with --- p.34 / Chapter 2.7 --- Numerical Results --- p.37 / Chapter 2.7.1 --- Experimental Setup --- p.37 / Chapter 2.7.2 --- Experimental Results and Discussion --- p.40 / Chapter 2.8 --- Conclusion --- p.43 / Chapter 2.9 --- Appendix --- p.44 / Chapter II --- Simulation Framework --- p.47 / Chapter 3 --- AgeSim: A Simulation Framework --- p.48 / Chapter 3.1 --- Introduction --- p.48 / Chapter 3.2 --- Preliminaries and Motivation --- p.51 / Chapter 3.2.1 --- Prior Work on Lifetime Reliability Analysis of Processor- Based Systems --- p.51 / Chapter 3.2.2 --- Motivation of This Work --- p.53 / Chapter 3.3 --- The Proposed Framework --- p.54 / Chapter 3.4 --- Aging Rate Calculation --- p.57 / Chapter 3.4.1 --- Lifetime Reliability Calculation --- p.58 / Chapter 3.4.2 --- Aging Rate Extraction --- p.60 / Chapter 3.4.3 --- Discussion on Representative Workload --- p.63 / Chapter 3.4.4 --- Numerical Validation --- p.65 / Chapter 3.4.5 --- Miscellaneous --- p.66 / Chapter 3.5 --- Lifetime Reliability Model for MPSoCs with Redundancy --- p.68 / Chapter 3.6 --- Case Studies --- p.70 / Chapter 3.6.1 --- Dynamic Voltage and Frequency Scaling --- p.71 / Chapter 3.6.2 --- Burst Task Arrival --- p.75 / Chapter 3.6.3 --- Task Allocation on Multi-Core Processors --- p.77 / Chapter 3.6.4 --- Timeout Policy on Multi-Core Processors with Gracefully Degrading Redundancy --- p.78 / Chapter 3.7 --- Conclusion --- p.79 / Chapter 4 --- Evaluating Redundancy Schemes --- p.83 / Chapter 4.1 --- Introduction --- p.83 / Chapter 4.2 --- Preliminaries and Motivation --- p.85 / Chapter 4.2.1 --- Failure Mechanisms --- p.85 / Chapter 4.2.2 --- Related Work and Motivation --- p.86 / Chapter 4.3 --- Proposed Analytical Model for the Lifetime Reliability of Proces- sor Cores --- p.88 / Chapter 4.3.1 --- "Impact of Temperature, Voltage, and Frequency" --- p.88 / Chapter 4.3.2 --- Impact of Workloads --- p.92 / Chapter 4.4 --- Lifetime Reliability Analysis for Multi-core Processors with Vari- ous Redundancy Schemes --- p.95 / Chapter 4.4.1 --- Gracefully Degrading System (GDS) --- p.95 / Chapter 4.4.2 --- Processor Rotation System (PRS) --- p.97 / Chapter 4.4.3 --- Standby Redundant System (SRS) --- p.98 / Chapter 4.4.4 --- Extension to Heterogeneous System --- p.99 / Chapter 4.5 --- Experimental Methodology --- p.101 / Chapter 4.5.1 --- Workload Description --- p.102 / Chapter 4.5.2 --- Temperature Distribution Extraction --- p.102 / Chapter 4.5.3 --- Reliability Factors --- p.103 / Chapter 4.6 --- Results and Discussions --- p.103 / Chapter 4.6.1 --- Wear-out Rate Computation --- p.103 / Chapter 4.6.2 --- Comparison on Lifetime Reliability --- p.105 / Chapter 4.6.3 --- Comparison on Performance --- p.110 / Chapter 4.6.4 --- Comparison on Expected Computation Amount --- p.112 / Chapter 4.7 --- Conclusion --- p.118 / Chapter III --- Applications --- p.119 / Chapter 5 --- Task Allocation and Scheduling for MPSoCs --- p.120 / Chapter 5.1 --- Introduction --- p.120 / Chapter 5.2 --- Prior Work and Motivation --- p.122 / Chapter 5.2.1 --- IC Lifetime Reliability --- p.122 / Chapter 5.2.2 --- Task Allocation and Scheduling for MPSoC Designs --- p.124 / Chapter 5.3 --- Proposed Task Allocation and Scheduling Strategy --- p.126 / Chapter 5.3.1 --- Problem Definition --- p.126 / Chapter 5.3.2 --- Solution Representation --- p.128 / Chapter 5.3.3 --- Cost Function --- p.129 / Chapter 5.3.4 --- Simulated Annealing Process --- p.130 / Chapter 5.4 --- Lifetime Reliability Computation for MPSoC Embedded Systems --- p.133 / Chapter 5.5 --- Efficient MPSoC Lifetime Approximation --- p.138 / Chapter 5.5.1 --- Speedup Technique I - Multiple Periods --- p.139 / Chapter 5.5.2 --- Speedup Technique II - Steady Temperature --- p.139 / Chapter 5.5.3 --- Speedup Technique III - Temperature Pre- calculation --- p.140 / Chapter 5.5.4 --- Speedup Technique IV - Time Slot Quantity Control --- p.144 / Chapter 5.6 --- Experimental Results --- p.144 / Chapter 5.6.1 --- Experimental Setup --- p.144 / Chapter 5.6.2 --- Results and Discussion --- p.146 / Chapter 5.7 --- Conclusion and Future Work --- p.152 / Chapter 6 --- Energy-Efficient Task Allocation and Scheduling --- p.154 / Chapter 6.1 --- Introduction --- p.154 / Chapter 6.2 --- Preliminaries and Problem Formulation --- p.157 / Chapter 6.2.1 --- Related Work --- p.157 / Chapter 6.2.2 --- Problem Formulation --- p.159 / Chapter 6.3 --- Analytical Models --- p.160 / Chapter 6.3.1 --- Performance and Energy Models for DVS-Enabled Pro- cessors --- p.160 / Chapter 6.3.2 --- Lifetime Reliability Model --- p.163 / Chapter 6.4 --- Proposed Algorithm for Single-Mode Embedded Systems --- p.165 / Chapter 6.4.1 --- Task Allocation and Scheduling --- p.165 / Chapter 6.4.2 --- Voltage Assignment for DVS-Enabled Processors --- p.168 / Chapter 6.5 --- Proposed Algorithm for Multi-Mode Embedded Systems --- p.169 / Chapter 6.5.1 --- Feasible Solution Set --- p.169 / Chapter 6.5.2 --- Searching Procedure for a Single Mode --- p.171 / Chapter 6.5.3 --- Feasible Solution Set Identification --- p.171 / Chapter 6.5.4 --- Multi-Mode Combination --- p.177 / Chapter 6.6 --- Experimental Results --- p.178 / Chapter 6.6.1 --- Experimental Setup --- p.178 / Chapter 6.6.2 --- Case Study --- p.180 / Chapter 6.6.3 --- Sensitivity Analysis --- p.181 / Chapter 6.6.4 --- Extensive Results --- p.183 / Chapter 6.7 --- Conclusion --- p.185 / Chapter 7 --- Customer-Aware Task Allocation and Scheduling --- p.186 / Chapter 7.1 --- Introduction --- p.186 / Chapter 7.2 --- Prior Work and Problem Formulation --- p.188 / Chapter 7.2.1 --- Related Work and Motivation --- p.188 / Chapter 7.2.2 --- Problem Formulation --- p.191 / Chapter 7.3 --- Proposed Design-Stage Task Allocation and Scheduling --- p.192 / Chapter 7.3.1 --- Solution Representation and Moves --- p.193 / Chapter 7.3.2 --- Cost Function --- p.196 / Chapter 7.3.3 --- Impact of DVFS --- p.198 / Chapter 7.4 --- Proposed Algorithm for Online Adjustment --- p.200 / Chapter 7.4.1 --- Reliability Requirement for Online Adjustment --- p.201 / Chapter 7.4.2 --- Analytical Model --- p.203 / Chapter 7.4.3 --- Overall Flow --- p.204 / Chapter 7.5 --- Experimental Results --- p.205 / Chapter 7.5.1 --- Experimental Setup --- p.205 / Chapter 7.5.2 --- Results and Discussion --- p.207 / Chapter 7.6 --- Conclusion --- p.211 / Chapter 7.7 --- Appendix --- p.211 / Chapter 8 --- Conclusion and Future Work --- p.214 / Chapter 8.1 --- Conclusion --- p.214 / Chapter 8.2 --- Future Work --- p.215 / Bibliography --- p.232
12

Development of reliability prediction techniques for long mission spacecraft

Stanbery, Robert Lewis, 1940- January 1964 (has links)
No description available.
13

Reliability of an electric motor system

Tang, Chao ran 27 August 2012 (has links)
M. Ing. / The design of electric motor systems as we know it today, is very important and has a direct influence on the reliability of the system. In this dissertation, recommendations in design are given to obtain a reliable electric motor system. This dissertation covers a literature review of reliability engineering, and this is then applied to an electric motor system in order to determine the reliability of the system. This dissertation is divided into five parts: Problem definition, theory and literature survey, economics of reliability engineering, analysis and synthesis of an electrical motor system, conclusions and recommendations. Part I describes the environment of an electric motor system and presents some fundamental concepts of reliability engineering. It emphasizes the importance of reliability analysis in the design of electric motor systems. Part II describes some theory and literature about reliability. It emphasizes some existing reliability analysis methods for development of electric motor systems. The reliability prediction method is very useful for analysis of electric motor systems. The author emphasizes that economics of reliability engineering should be taken into account in the design process in Part III. The analysis of life cycle costs is very important. Life cycle costs (LCC) usually consist of the initial investment, preventive maintenance costs, repair costs and the costs for production losses and outages due to failures and disturbances. Life cycle costing methodology is useful in analyzing the design, reliability and maintenance during trade off of technical systems and equipments. Part IV focuses a specific electric motor system. Some existing reliability analysis methods are used to analyse reliability of electric motor systems. It is highlighted how to improve the reliability of electric motor systems. Some economics considerations are also presented in this section. The main conclusion reached in this dissertation is that failure data feedback, and accurate records are very important for reliability engineering. The author makes some recommendations for reliability of an electric motor system in design. This dissertation may contain direct information from sources indicated generally by. This is however generally contextualized within the main aim of the research. This is the result of specific communication obstacles.
14

Reliability of Electronics

Wickstrom, Larry E. 12 1900 (has links)
The purpose of this research is not to research new technology but how to improve existing technology and understand how the manufacturing process works. Reliability Engineering fall under the category of Quality Control and uses predictions through statistical measurements and life testing to figure out if a specific manufacturing technique will meet customer satisfaction. The research also answers choice of materials and choice of manufacturing process to provide a device that will not only meet but exceed customer demand. Reliability Engineering is one of the final testing phases of any new product development or redesign.
15

Accelerated life testing and reliability prediction

Daruvalla, Sam Rustomjee. January 1965 (has links)
Call number: LD2668 .T4 1965 D227 / Master of Science
16

Reliability Analysis and Cost Benefit Evaluation of Reliability Enhancement for an Industrial Power Systems

Wang, Neng-pin 26 November 2005 (has links)
To evaluate the strategy of reliability enhancement for an existing industrial power system , the Benefit-Cost ratio of all possible improvement scenarios have to be investigated . This thesis presents a quantitative and systematic method to solve the Benefit-Cost ratio of network restructure for reliability enhancement . This method can provide a simple and effective tool for planning reliability improvement in the industry power systems. Up to now , many methodologies have been developed to solve the service reliability for distribution power systems . In this thesis , the reliability indices of industrial power systems are calculated to evaluate the service quality . According to the result of reliability analysis and the corresponding cost of loss of load for each load bus , the annual power outage cost is derived for each scenario of system restructure. By integrating the power outage cost and the corresponding investment cost , the optimal reliability enhancement is determined by the best strategy with the Benefit-Cost ratio.
17

Reliability assessment of foundations for offshore mooring systems under extreme environments

Choi, Young Jae, 1970- 28 August 2008 (has links)
Mooring systems for floating facilities that are used offshore to produce oil and gas, consisting of individual mooring lines and foundations, are currently designed on the basis of individual components and on a case-by-case basis. The most heavily loaded line and anchor are checked under extreme loading conditions (hurricane and loop current) with the system of lines intact and with one line removed. However, the performance of the entire mooring system depends more directly on the performance of the system of lines and foundations rather than on the performance of a single component. In this study, a floating production system design originally developed by the industry consortium, DeepStar, was chosen for study. The mooring system was designed for three different nominal water depths: 1000, 2000 and 3000 m. It is a classic spar with steel mooring lines in 1000 m of water and polyester mooring lines in deeper depths. Based on simulated results of loads on mooring lines and foundations using a numerical model, reliability analyses were conducted using representative probabilistic descriptions of the extreme met-ocean conditions, hurricanes and loop currents, in the Gulf of Mexico. The probability of failure of individual mooring line components during a 20-year design life is calculated first, followed by that of a complete mooring line which consists of top and bottom chains, a steel cable or polyester rope at the middle and a suction caisson foundation, and finally that of the mooring system. It is found that foundations have failure probabilities that are more than an order of magnitude smaller than those for lines under extreme loading. Mooring systems exhibit redundancy in that the failure of the most heavily loaded component during an extreme event does not necessarily lead to failure of the system. The system reliability and redundancy are greater for the taut versus semi-taut systems and is greater for designs governed by loop current versus hurricane events. Although this study concerns about the mooring systems of a classical spar, the methodology of the reliability analysis and the conclusions made in this study may have important implications to the other deepwater mooring systems / text
18

EFFICIENT METHODS FOR MECHANICAL AND STRUCTURAL RELIABILITY ANALYSIS AND DESIGN (SAFETY-INDEX, FATIGUE, FAILURE).

WU, YIH-TSUEN. January 1984 (has links)
Three fundamental problems of mechanical reliability are addressed. (1) computing the probability of failure, p(f), of a component having design factors with known statistical distributions and a limit state with a closed form algebraic expression (2) computing the probability of failure of a component having design factors with known distributions and a limit state which can only be expressed by a computer algorithm, and (3) deriving safety check expressions in a "design by reliability" approach. An algorithm for generating estimates of p(f) is presented. The method is an extension of, and demonstrated to be a significant improvement to, the widely used Rackwitz-Fiessler (R-F) method--a fast and efficient numerical method for performing reliability analysis. Comparisons were made for numerous examples, it was found that the error in p(f), using the proposed method, is typically about half of the error in R-F estimates. A method was proposed for computing p(f) when the relationship between design factors can be defined only using a computer algorithm, e.g., finite element analysis. A second order polynomial is constructed, using a simple curve fitting routine, to approximate the limit state in the neighborhood of the design point (i.e., a point close to the most likely value of the design variables at failure). Then the R-F method can be applied easily. It is demonstrated that this scheme is much faster than the Monte Carlo method in producing reasonable estimates of p(f). Methods of deriving safety check expressions for design codes and design criteria documents are studied. A Level I format employing partial safety factors derived from Level II methods is used to construct the safety check expressions which are suitable for code development. The procedures are demonstrated using numerous examples which include the problems where the limit states are complicated, i.e., the limit states are not explicitly defined.
19

Reliability and profitability analysis of parallel process trains

Yaro, Emmanuel Danlami, 1947- January 1973 (has links)
No description available.
20

Asymmetric thermal cycles : a different approach to accelerated reliability assessment of microelectronic packages

Classe, Francis Christopher 08 1900 (has links)
No description available.

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