Reliability of Systems with non-repairable components

May 29 • General, Notes • 1747 Views • 4 Comments on Reliability of Systems with non-repairable components

  Reliability  of systems  with non-repairable  components:

  • Reliability is  defined as the probability of a device or system which performs its function adequately, for the period of time intended, under the operating conditions .
  • The non-repairable system consists in determining that how failure times are been distributed.
  • The main distribution which characterizes the non-repairable systems are the exponential, weibul and long normal distributions.
  • Here we will know about two methods i.e., regression method and maximum likelihood estimator method.

Series:

  •  A Series system in configuration describes that if any of the system component fails then the entire system fails.
  • In series configuration, weakest cell controls the performance of the devices. The weakest cell deplete at a faster rate when the device operates.

Parallel:

  •  A parallel system is a configuration in which as long as the entire system components  fails the whole system will work.
  • A parallel system reliability  is higher than any single reliability.
  • Here, the strongest cell controls ther device.

Series-Parallel:

  •  This is a system where the components in series are replicated in parallel.
  • This principle is used to sequentially reduce the complicated configurations  by the combination of appropriate series and branches of the reliability model.

 

Few related questions and answers

 

Q1 Concept of reliability of systems with non-repairable component.

 

Ans.  Reliability is  defined as the probability of a device or system which performs its function adequately, for the period of time intended, under the operating conditions .The non-repairable system consists in determining that how failure times are been distributed.The main distribution which characterizes the non-repairable systems are the exponential, weibul and long normal distributions.Here we will know about two methods i.e., regression method and maximum likelihood estimator method.

 

Q2. Explain the series and parallel configuration.

 

Ans.  Series: A Series system in configuration describes that if any of the system component fails then the entire system fails. In series configuration, weakest cell controls the performance of the devices. The weakest cell deplete at a faster rate when the device operates.

 

 

Parallel:A parallel system is a configuration in which as long as the entire system components  fails the whole system will work. A parallel system reliability  is higher than any single reliability. Here, the strongest cell controls the device.

 

 

 

Q3. Write the principle of series-parallel configuration.

 

Ans.  This principle is used to sequentially reduce the complicated configurations  by the combination of appropriate series and branches of the reliability model.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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4 Responses to Reliability of Systems with non-repairable components

  1. Mitali Panda says:

    The reliablity of system is more in place of parralel ones as compared to the series model as if one components get collapsed the whole syatem would work but it won’t in case of series one. One must go through the article its very interesting to learn

  2. Shilpa Ranjan says:

    The article explains the concept of Reliability of Systems with non-repairable components.series and parallel configurations are explained well & can be easily understood by going through the article..!!

  3. Rachita Mishra says:

    In general, reliability (systemic def.) is the ability of a person or system to perform and maintain its functions in routine circumstances, as well as hostile or unexpected circumstances.This article describes about the reliability of the system.

  4. patlakshi Jha says:

    The article comprises about the reliability of systems with non – repairable components . This article shows us the methods and techniques as how we could be reliable on the system.

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