Evaluating failure time probabilities for a Markovian wear process

نویسندگان

  • Jeffrey P. Kharoufeh
  • Jeffrey A. Sipe
چکیده

We present simpli0ed analytical results for the numerical evaluation of failure time probabilities for a single-unit system whose cumulative wear over time depends on its external environment. The failure time distribution is derived as a one-dimensional Laplace–Stieltjes transform with respect to the temporal variable using a direct solution approach and by inverting an existing two-dimensional result with respect to the spatial failure threshold variable. Two numerical examples demonstrate that accurate cumulative probability values can be obtained in a straightforward manner using standard computing environments.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Monte Carlo Simulation to Compare Markovian and Neural Network Models for Reliability Assessment in Multiple AGV Manufacturing System

We compare two approaches for a Markovian model in flexible manufacturing systems (FMSs) using Monte Carlo simulation. The model which is a development of Fazlollahtabar and Saidi-Mehrabad (2013), considers two features of automated flexible manufacturing systems equipped with automated guided vehicle (AGV) namely, the reliability of machines and the reliability of AGVs in a multiple AGV jobsho...

متن کامل

Performance Analysis of a Repairable Robot Safety System with Standby, Imperfect Coverage and Reboot Delay

The present study deals with a robot safety system composed of standby robot units and inbuilt safety unit. When the main operative unit fails, it is replaced by the standby robot unit available in the system. The concept of reboot delay is also incorporated in this study according to which the robot unit is rebooted if it is not successfully recovered. The recovery and reboot times of failed u...

متن کامل

Availability of Periodically Inspected Systems with Markovian Wear and Shocks

We analyze a periodically inspected system with hidden failures in which the rate of wear is modulated by a continuous-time Markov chain and additional damage is induced by a Poisson shock process. We derive explicitly the system’s lifetime distribution and mean time to failure, as well as the limiting average availability. The main results are illustrated through two numerical examples.

متن کامل

Explicit results for wear processes in a Markovian environment

We consider the reliability of a single-unit system whose cumulative damage over time is a continuous wear process {X (t): t¿ 0} that depends on an external environment process {Z(t): t¿ 0}. We explicitly derive the failure time distribution and moments in terms of Laplace–Stieltjes transforms by analyzing the Markov additive process {(X (t); Z(t)): t¿ 0} and demonstrate its applicability on an...

متن کامل

Multiscale Modeling of Wear Degradation in Cylinder Liners

Every mechanical system is naturally subjected to some kind of wear process that, at some point, will cause failure in the system if no monitoring or treatment process is applied. Since failures often lead to high economical costs, it is essential both to predict and to avoid them. To achieve this, a monitoring system of the wear level should be implemented to decrease the risk of failure. In t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Computers & OR

دوره 32  شماره 

صفحات  -

تاریخ انتشار 2005