Matrix Structure Reliability Analysis using AFORM
نویسندگان
چکیده
منابع مشابه
Performance Analysis of Software Reliability Models using Matrix Method
This paper presents a computational methodology based on matrix operations for a computer based solution to the problem of performance analysis of software reliability models (SRMs). A set of seven comparison criteria have been formulated to rank various non-homogenous Poisson process software reliability models proposed during the past 30 years to estimate software reliability measures such as...
متن کاملEnhanced Memory Reliability Using Parity Matrix Code
Now a days to maintain good level of reliability, it is necessary to protect memory cells using protection codes, for this purpose, various error detection and correction methods are being used. The only drawback of the existing DMC is that more redundant bits are required to maintain higher reliability of memory. The proposed technique used parity matrix code to assure reliability in presence ...
متن کاملRELIABILITY MEASURES AND SENSITIVITY ANALYSIS OF A COMPLEX MATRIX SYSTEM INCLUDING POWER FAILURE
This paper investigates the reliability characteristics of a complex system having nine subsystems arranged in the form of 3x3 matrix in which each row contains three subsystems. The configuration of the row is of the type 2-out-of-3: F. Each subsystem has n units connected in series. The system fails if any one row containing three subsystems fails. The considered system analyzed incorporating...
متن کاملReliability analysis of a robotic system using hybridized technique
In this manuscript, the reliability of a robotic system has been analyzed using the available data (containing vagueness, uncertainty, etc). Quantification of involved uncertainties is done through data fuzzification using triangular fuzzy numbers with known spreads as suggested by system experts. With fuzzified data, if the existing fuzzy lambda–tau (FLT) technique is employed, then the comput...
متن کاملrodbar dam slope stability analysis using neural networks
در این تحقیق شبکه عصبی مصنوعی برای پیش بینی مقادیر ضریب اطمینان و فاکتور ایمنی بحرانی سدهای خاکی ناهمگن ضمن در نظر گرفتن تاثیر نیروی اینرسی زلزله ارائه شده است. ورودی های مدل شامل ارتفاع سد و زاویه شیب بالا دست، ضریب زلزله، ارتفاع آب، پارامترهای مقاومتی هسته و پوسته و خروجی های آن شامل ضریب اطمینان می شود. مهمترین پارامتر مورد نظر در تحلیل پایداری شیب، بدست آوردن فاکتور ایمنی است. در این تحقیق ...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korean Society for Aviation and Aeronautics
سال: 2012
ISSN: 1225-9705
DOI: 10.12985/ksaa.2012.20.3.051