Calculating Failure Rate: 0.8 Reliability in 2000 Hours

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Discussion Overview

The discussion revolves around calculating the failure rate of a device with a specified reliability of 0.8 over 2000 hours. Participants explore the implications of this reliability figure and how to derive the failure rate from it, considering various interpretations and mathematical approaches.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant, Andrew, seeks clarification on how to calculate the failure rate given the reliability of 0.8 without additional information such as sample size.
  • Another participant suggests that the reliability figure of 0.8 could directly represent the number of failures, interpreting it as a straightforward answer to the question.
  • A different viewpoint posits that reliability indicates the rate of success, leading to the conclusion that unreliability (or failure) is 0.2, which relates to the failure rate.
  • One participant proposes a mathematical approach by dividing the reliability by the total time, suggesting a failure rate of .0004 per hour, while also expressing concerns about the implications of such a low efficiency.
  • Another participant critiques the interpretation of significant figures and suggests that the failure rate could be expressed in terms of a percentage based on a larger number of attempts, leading to a calculation of 2500% failure rate.

Areas of Agreement / Disagreement

Participants express differing interpretations of the reliability figure and its implications for calculating failure rate. There is no consensus on the correct approach or interpretation, and multiple competing views remain present in the discussion.

Contextual Notes

Participants highlight the lack of information regarding sample size and the assumptions underlying their calculations. The discussion reflects varying interpretations of reliability and failure rate, leading to different mathematical conclusions.

scotchpie
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I am currently studying for a business qualification I am stubling over a question.

It concerns calculating failure rate. The equation I know for this needs the number of failures over the total time.

However the question is: "A device has a reliability of 0.8 over 2000 hours, calculate the failure rate."

How can one firstly work of the number of failures from this? It doesn't give any other information, ie total sample size etc. just the reliability over 2000 hours.

Thanks
Andrew
 
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I'm pretty sure 0.8 is the number of failures. To me it seems like the question gives the answer, but hen I guess I'm not sure what they are looking for. Wik has some info: http://en.wikipedia.org/wiki/Failure_rate
In words appearing in an experiment, the failure rate can be defined as

The total number of failures within an item population, divided by the total time expended by that population, during a particular measurement interval under stated conditions. (MacDiarmid, et al.)
So the population size would be 1, time is 2000 hours, and number of failures is .8.
 
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I believe reliability means 'rate of success', i.e. it works reliably 0.8 or 80% of the time. So 1 is all the time, and 1-0.8=0.2 would be unreliability, which is related to the failure rate.

Look on the page for MIL-HDBK-217F
Reliability Prediction of Electronic Equipment- Notice F
http://www.weibull.com/knowledge/milhdbk.htm#200

One can download the pdf file.

Weibull.com is a good resource for statistics and statistical analysis.
 
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"A device has a reliability of 0.8 over 2000 hours, calculate the failure rate."

Just to make this simple for you place it in your math formula like it says.

0.8/2000 0.8 over 2000 hours. The answer of the efficiency is very low, but it's the truth according to the math. .0004 per hour is the answer according to the information furnished. Gee, slave labor does better than an efficiency rating like that, and it sounds like someone needs to pay someone better wages to get the job done. The machine is malfunctioning - tell whoever asked the question to fix the machine or up their wages to fair.

For those of you who do not recognize significant numbers, in its stated form this is not a percentage. If someone meant it that way, their distinction is incorrect.

What is the reliabillaty per hour is what I think the equation boils down to.

Then stated as a failure rate in 20,000 attempts you only get 8 successes... that being the case expressed as a percentage, failure rate is 20,000/8 which is 2500% failure rate.
 
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