Results 251 to 260 of about 562,683 (296)

Robustness and Reliability in Smart Grid Solutions

2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE), 2019
The Electric Power distribution systems should be integrated with the corporate solutions of power generators and distributors, so as to guarantee greater reliability, availability and speed in response to emergency moments, fault occurrence, the need to send maintenance teams and maneuvers in the system, aiming at reducing the SAIDI and SAIFI indices ...
Reinaldo Burian, Marcelo Gontijo, Hugo Alvarez   +2 more
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Design Optimization for Reliability and Robustness

SAE Technical Paper Series, 2004
<div class="htmlview paragraph">Research in design optimization methods has increasingly become concerned with mathematical treatment of uncertainties in system demands and capacity, boundary conditions, component interactions, and available resources.
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Robust Materials and Processes: Key to Reliability

AT&T Technical Journal, 1990
Achieving high reliability and yield in the design and manufacture of telecommunications products requires detailed assessment of the materials, product design, manufacturing processes, and use environment. The key prerequisites for eliminating the root causes of failure are both scientific understanding and engineering evaluations that use statistical
Robert B. Comizzoli, James M. Landwehr, J. Douglas Sinclair   +2 more
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Scalable, Reliable and Robust Data Mining Infrastructures

2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), 2020
Mining of data is used to analyze facts to discover formerly unknown patterns, classifying and grouping the records. There are several crucial scalable statistics mining platforms that have been developed in latest years. RapidMiner is a famous open source software which can be used for advanced analytics, Weka and Orange are important tools of machine
Shrikant Pawar, Aditya Stanam
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Robust design and reliability analysis

1996
This chapter introduces a new method for the analysis and optimisation of reliability as an integrated part of the design process of electronic circuits and systems. It bases itself on the analysis of the susceptibility of failure mechanisms in components as a function of the combinations of external stress factors (stressor-sets).
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Robustness, Reliability, and Overdetermination (1981)

2012
The use of multiple means of determination to “triangulate” on the existence and character of a common phenomenon, object, or result has had a long tradition in science but has seldom been a matter of primary focus. As with many traditions, it is traceable to Aristotle, who valued having multiple explanations of a phenomenon, and it may also be ...
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Device reliability and robust power converter development

Microelectronics Reliability, 1999
Abstract This paper describes a top-down approach to reliability investigation of power electronic systems used in terrestrial and space applications. Results obtained from several case studies are presented that describe in detail both short-term and field failures of high-power DC−DC and AC−DC converters and the causes there-in.
N. Keskar, M. Trivedi, K. Shenai
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Robustness and Reliability

2023
Avinash Manure, Shaleen Bengani, Saravanan S   +2 more
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Reliability and robustness in modern statistical learning

2023
The generation of large-scale fine-grained datasets is experiencing an unprecedented surge, propelling the extensive deployment of modern statistical learning models across a wide range of safety-critical applications. These include recommendation and forecasting systems, drug discovery, fraud detection, and personalized healthcare procedures. However,
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Robust Reliability and the Poisson Process

1996
Throughout the first 6 chapters we have exclusively used convex models of uncertainty. The primary practical motivation for avoiding the use of probabilistic models is the frequent lack of sufficient information to verify the choice of the probabilistic model. In chapter 7 we demonstrated that even small inaccuracies in the probability density can have
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