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RT&A 2016, # 2(41) Vol.11


 

Sergey Grodzensky

 

INFORMATION TECHNOLOGY IN THE HOLY LAND

The Second International Symposium on Applied stochastic models in reliability theory, the science of life and management of processes that determined the abbreviation SMRLO'16 (The Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management) has been held in the city Be'er Sheva (Israel).

 

Volodarsky V. A.

ABOUT TRIGONOMETRIC DISTRIBUTIONS TO DESCRIBE THE FAILURE OF TECHNICAL DEVICES

There has been proposed and investigated the non-traditional trigonometric distribution to describe the gradual failure of technical devices.

 

Guliyev H.B.

 

METHOD AND ALGORITHM OF FUZZY CONTROL OF REACTIVE CAPACITY AND VOLTAGE PROVIDING REGIME RELIABILITY OF ELECTRIC NETWORKS

The structure and algorithm of the voltage and reactive power control system for distribution networks with on site power sources containing fuzzy logic controller (FLC) is presented. The controlling parameters are: the transformers voltage ratio and capacities of the reactive power sources in distribution networks. The placement of reactive power sources, their values and also transformers regulator’s positions are determined using traditional methods of optimization for selected networks. The structure of reactive power sources  and transformers voltage ratio control system containing the fuzzy logic controller is presented in this paper. The problem of optimal correction of transformers voltage ratio and  power sources  at time of their deviation from the preset values to minimize losses in studied network and maintaining of nodes voltages on the necessary level is considered. The algorithm of membership function formation for input variables of FLC to control / correct capacitors value is shown. Modeling results for real electrical circuit, reactive capacity correction in nodes and  transformers impact on losses and voltage profile in studied network are presented.

 

Yu. Paramonov

 

DANIELS' EPSILON-SEQUENCE AND MODELLING OF RELIABILITY OF UNIDIRECTIONAL FIBROUS COMPOSITE

This is a new version of the Daniels' sequence (DS) for analyzing the relation of the static strength of unidirectional fiber composite (UFC) component with a fatigue life, a static and a residual tensile strength of UFC itself.  The DS allows to explain the existence of fatigue strength, the residual strength  and the dependence of static strength  on the rate of a tensile test. It explains the structure of these processes of the UFC failure, but  to get a numerical result some new hypotheses are needed. New version of the DS allows to simplify a problem of the regression analysis of test data and the prediction of the UFC parameter changes in case of changes of the parameters of its component.

 

Farhadzadeh E.M., Muradaliyev A.Z., Abdullayeva S.A.

CRITERIA THE ESTIMATION EXPEDIENCY OF CLASSIFICATION INFORMATION ON RELIABILITY OF THE EQUIPMENT AND DEVICES EPS

Analysis of statistical data about refusals, maintenance service and repair of objects of electric systems, is an indispensable condition of a quantitative estimation of reliability of their work. The analysis assumes classification of data on a sort of attributes and their versions. Thus, the basic question there is a revealing significant version of attributes. The importance of an attribute established based on statistical criteria of check of hypotheses. The criteria based on boundary fiducially estimation of intervals are offered.

 

S. Amala Revathy, B. Chandrasekar

RELIABILITY PERFORMANCE MEASURES OF SYSTEMS WITH LOCATION-SCALE GENERALIZED ABSOLUTELY CONTINUOUS MULTIVARIATE EXPONENTIAL FAILURETIME DISTRIBUTION

This paper deals with the equal marginal location-scale Generalized Absolutely Continuous Multivariate Exponential model. The distributional properties and applications of the location-scale model arising out of the k-parameter Generalized Absolutely Continuous Multivariate Exponential distribution are studied. Standby, parallel, series and relay systems of order k with location-scale Generalized Absolutely Continuous Multivariate Exponential failuretimes are discussed and their performance measures are obtained. The optimal estimators of the meantime before failure times are also derived.

 

A Krishnamoorthy,  M. K. Sathian, Viswanath C Narayanan

RELIABILITY OF A k-OUT-OF-n SYSTEM WITH REPAIR BY A SINGLE SERVER EXTENDING SERVICE TO EXTERNAL CUSTOMERS WITH PRE-EMPTION

In this paper we study the reliability of a k-out-of-n system, with a single technician, who also renders service to external customers besides repairing the failed components in the system. For optimizing the revenue from external service without compromising the system reliability, we introduce the N-policy in which the repair of the internal customers (failed components) starts only on accumulation of N failed components. The service to external customers is of preemptive nature in the sense that their service can be interrupted on accumulation of N failed components. It is assumed that an external customer, who finds the server busy with an external customer at the epoch of its arrival joins a queue of infinite capacity; whereas an external customer who finds the server busy with an internal customer leaves the system forever. The failure times of the components of the k-out-of-n system follow an exponential distribution; the arrival of external customers is according to a Poisson process and the service times of the internal and external customers follow non-identical phase-type distributions. Using matrix-analytic methods, we discuss the system stability and steady state distribution. A special case of the model where the underlying distributions are all exponential has been considered, to obtain an expression for the stability condition and a product form solution for the steady state have been obtained for this case. Also several system performance measures have been obtained explicitly. Analysis of a cost function indicates that N-policy does help to optimize the system revenue maintaining high system reliability.

 

 

 

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