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RT&A 2017, # 3(46) Vol.12


 

Ahmadur Rahman, Showkat Ahmad Lone, Arif Ul Islam

Statistical Analysis for Type-I Progressive Hybrid Censored Data from Burr Type XII Distribution under Step-Stress Partially Accelerated Life Test Model

 

Progressive hybrid censoring scheme is now quite common in the experiment of life testing and reliability analysis. In this article the data, failure life times of units, is obtained by using type-I progressive hybrid censoring scheme. It is assumed that data follows Burr Type XII distribution. The point and interval estimation of the Burr Type XII distribution parameters and acceleration factor are performed using maximum likelihood estimator under stress partially accelerated life test model. Monte Carlo simulation study is used to obtain the biases and mean square errors of the estimators.

 

Keywords: Reliability, type I progressive hybrid censoring scheme, Burr Type XII distribution, maximum likelihood function, Monte Carlo simulation, Step-Stress partially accelerated life test model.

 

Baffa Sani, Ramatu Idris Gatawa, Ibrahim Yusuf

Reliability Assessment of Deteriorating System

 

Industrial equipment and technical systems are exposed various degree of deterioration ranging from minor deterioration, medium to major deterioration and subsequently failed thereafter and are replaced at failure. Such deteriorations can slightly reduce system performance and will ultimately lead to random failure. This paper presents modelling and evaluation of reliability characteristics such as availability, profit and mean time to failure (MTTF) of a system subjected to three consecutive stages of deterioration (minor, medium and major) before failure. Markov models of the system are derived through the system state transition probabilities and differential equations which are further used to evaluate the system availability, busy period, profit and mean time to failure (MTTF). Based on assumed numerical values given to system parameters, graphical illustrations are given to highlight important results.

 

Keywords: Deterioration, Reliability, Availability, profit

 

Paolo Rocchi

How Entropy Infiltrates the Reliability Domain: Two Theoretical Inquiries

 

The reliability theory includes an enormous amount of works but does not yet become a mature discipline. Many factors account for this fail; as first the reliability domain is lacking the comprehensive and unifying frame. The entropy concept demonstrates to be capable of offering unified views and providing integrated mathematical tools in various scientific sectors. The present paper presents a concise review of two recent theoretical studies that introduce the entropy in the reliability domain in order to treat broad issues. The first of these applies thermodynamic entropy to degradation mechanisms and provides a model for a wide range of degradation processes. The second employs the Boltzmann-like entropy to describe the spontaneous decay of systems during the entire lifespan.

 

Keywords: The present state of the reliability theory, thermodynamic degradation, entropy generation theorem, Boltzmann-like entropy, bathtub curve, reparability function

 

V.M.Chacko, Beenu Thomas, Deepthi K S

A ‘One Parameter’ Bathtub Shaped Failure Rate Distribution

 

Most real life system exhibit bathtub shapes for their failure rate functions. Generalized Lindley, Generalized Gamma, Exponentiated Weibull and x-Exponential distributions are proposed for modeling lifetime data having bathtub shaped failure rate model. This paper considered  a simple model but exhibiting bathtub shaped failure rate  and discuss the failure rate behavior.  The proposed distribution  has only one parameter. A Little works are available in literature with one parameter. Computation of moments requires software. Applications in reliability study is discussed.

 

Keywords: Bathtub failure rate, Reliability

 

Alexander Bochkov

Special Issue. Preface

 

On the cover of this issue there is a "special issue". What is its difference from the usual numbers issued earlier? The fact is that with this number, we wanted to pay tribute to the memory of our friend and colleague Igor Ushakov. It is he who owes his origin and existence to the Gnedenko Forum and our journal, it is with his name that all our initiatives of the last 11 years are connected. We decided to post three articles by Igor, printed in our magazine in different years. They very clearly demonstrate its versatility. The first article is a philosophical reflection on the ways of developing the theory of reliability and its recent "golden age". These arguments are all the more valuable because their author is one of those who stood at the roots of what is now called the theory of reliability. The second article is an example of the scientific work of Igor Ushakov, in which he discusses the interesting practical application of generating functions. The third is his recollections about the teacher - about Boris Vladimirovich Gnedenko, with whom he was associated by kind friendship.

 

Igor Ushakov  

Is Reliability Theory Still Alive? 

 

At the banquet held during closing  of the MMR-2004 Conference (Santa Fe, USA), one of the most prominent specialists on Reliability Theory, Professor  of The George Washington University Nozer Singpurwalla was a host of the discussion during the dinner. The topic he chose was a bit provocative: “IS RELIABILITY THEORY STILL ALIVE ?” Even the question itself led to a furious reaction of the conference participant: ”Yes! It is alive! It is flourishing!”  What is going now if even such a question was suggested to the audience by such a serious mathematician who dedicated all his talent to developing Reliability Theory?  It seems to me that Professor Singpurwalla is right asking such a question. Though an answer to this question is not so simple. Being in a position a “mammoth” (if not a dinosaur J) in Reliability Theory, I take a brevity to discuss this difficult question.

 

Keywords: History, Reliability Theory

 

Igor Ushakov , Sumantra Chakravarty

Object Oriented Commonalities in Universal Generating Function for Reliability and in C++

 

The main idea of Universal Generating Function is exposed in reliability applications. Some commonalities in this approach and the C++ language are discussed. In Chakravarty and Ushakov implementation for Globalstar, C++ objects are in one-to-one correspondence with reliability objects. An object is specified by mean time between failures (MTBF), mean time to repair/replace (MTTR) and an effectiveness weight (partial effectiveness index: PEI). By definition, PEI=1 for binary atomic units. All failure distributions are implicitly assumed to be Exponential. If failed units were to be automatically swapped, a switching time was also assigned by Chakravarty and Ushakov (2000). Even small switching time is important because it changes a parallel system “on paper” to a series system with small MTTR. This may have dramatic effect overall on system reliability.

 

Keywords: Universal Generating Function, C++ language, reliability objects, system reliability

 

Igor Ushakov 

Thurst of Life: Two Gnedenko’s Visits to the United States

 

It won’t be an exaggeration to say that I never met a man with a stronger thirst for life, creating good around him, and being a courageous man who also faced life’s test and terrible illness… I was really lucky: I had been working with Boris Vladimirovich for many years shoulder-to-shoulder, traveled with him many business trips, spent many evenings with his hospitable family, he was my guest as well many times… It was my great privilege: Gnedenko visited me twice in the United States when I was working at The George Washington University: in spring of 1991 and in summer of 1993.  I will try to present a “photo report” of these events using only few words for comments.

 

Keywords: Gnedenko, USA, photo report, memory

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