دانلود پروژه A Novel fuzzy framework for nonlinear system control

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1-Fuzzy logic controls (FLCs)have been well accepted in control engineering practice.

2-The proposed paradigm provides a well-defined

    prototype for the FLC ,and can guarantee that the

    resulting FLC is functionally identical to the

   original

    NPID or gain scheduling controller.

3-As long as a linguistic representation is

    generated, the operation of the

   nonlinear

    controller can be examined in linguistic

    terms, and knowledge-based attributes

    can be effectively integrated.

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ترجمه مقاله Distributive Computing for reliability analysis of MEMS devices using MATLAB

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Distributive Computing for reliability analysis of MEMS devices using MATLAB

ABSTRACT
Computational approaches have brought powerful new techniques to calculate reliability supported by experimental and theoretical methods. These approaches play a crucial role in Micro Electro Mechanical Systems (MEMS) technology as well. The Reliability modeling codes to calculate reliability function, failure rate function, Mean time to failure (MTTF) and Mean Residual time (MRT) are proposed for MEMS technology. It is observed that High Performance Computing (HPC) can be used to optimize reliability calculation and help to accelerate research in reliability of MEMS. In the proposed work, Modeling and Computation is performed using MATLAB distributed computing toolbox and Sugar MEMS simulation library. This has been done by making a library for MEMS reliability “RSRlib”. It is an extension to SUGAR package for MEMS. It allows the user to perform simulation of a MEMS device in different environments as well as used to compute some aspects of system reliability such as Survival function and failure rate.

محاسبه توزیع فراوانی برای آنالیزهای قابل اطمینان انجام شده توسط دستگاه MEMS  با استفاده از نرم افزار MATLAB

روش های محاسباتی روش های جدید و قدرتمندی را برای محاسبه میزان قابل اعتماد بودن نتایج حاصل از روشهای تجربی و نظری به ارمغان آورده اند. این روشها در فن آوری میکرو الکترو مکانیکی ( MEMS ) نیز نقش حیاتی بازی می‏کند. کدهای مدلسازی قابل اطمینانی برای محاسبه ضریب اطمینان توابع، نرخ شکست تابع ، زمان متوسط ​​شکست ( MTTF ) و متوسط ​​زمان باقی مانده ( MRT ) برای فناوری MEMS ارائه شده است. مشاهده شده که با محاسبات با کارایی بالا (HPC) می تواند برای بهینه سازی قابل اطمینان محاسبات و کمک به تسریع تحقیقات در نهایت افزایش اطمینان از نتایج MEMS مورد استفاده قرار گیرد.

• سال : 2009
• تعداد صفحات انگلیسی پی دی اف : 5
• تعداد صفحات فارسی ورد : 8

 ( لینک دانلود مقاله همراه با ترجمه فارسی رو از لینک زیر دانلود کنید )

ASTM D2035:Standard Practice for Coagulation-Flocculation Jar Test of Water

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ASTM D2035:Standard Practice for Coagulation-Flocculation Jar Test of Water

ISO 9346-2007-10-Hydrothermal performance of buildings and building materials — Physical quantities for mass transfer — Vocabul

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ISO 9346-2007-10-Hydrothermal performance of buildings and building materials — Physical quantities for mass transfer — Vocabulary

مقاله Structural Health Monitoring Technologies for Civil Engineering Structures

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PDF

Structural Health Monitoring Technologies for Civil Engineering Structures

Author:

[ Ahmet Turer ] - Middle East Technical University, Civil Engr. Dept., 06800 Ankara, Turkey

Abstract:

This paper discusses basic principles of Structural Health Monitoring (SHM), how it has evolved and current state-of-the-art. The need for monitoring is categorized under main titles of necessity for SHM. The toolbox of monitoring projects share similar sensors. Most commonly used sensors and their working principles are briefly discussed. The duration of measurement and outcomes obtained from short and long term monitoring are elaborated. Dynamic and static measurements sometimes need to be combined for the maximum gain from monitoring studies. Advanced tools like modal analysis, acoustic emission, ultrasonic pulse velocity, eddy current, NDT techniques are covered in principle. The variety of structure types that are suitable for monitoring are listed and discussed. The conclusions summarizes the past, present, and future of SHM and its applications

Keywords:

structural health monitoring, structures, sensors