Failure rate of a system at time 't'

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Discussion Overview

The discussion revolves around the failure rate of a system at time 't', specifically focusing on the mathematical modeling of failure rates and total failures over time. Participants explore two models for estimating the failure rate (λ) and total failures (μ), involving differential equations and integration techniques.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant presents the definitions of λ(t) and μ(t) and provides two models for estimating these values: λ=λ0(1-μ/α) and λ=λ0e^-βμ.
  • Another participant begins to derive the relationship between λ and μ using the first model, leading to a differential equation.
  • A subsequent post questions the correctness of the integration performed by the previous participant, suggesting a need for careful evaluation.
  • Another participant expresses uncertainty about their integration results and seeks further guidance on how to proceed to find μ(t) and λ(t).
  • A later reply provides a transformation of the logarithmic expression derived from the integration, suggesting a potential form for μ(t) while noting the importance of including a constant of integration.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the integration steps and the correct form of the solutions for μ(t) and λ(t). There are multiple approaches and some corrections to earlier claims, indicating ongoing debate and uncertainty.

Contextual Notes

Some participants express confusion over the integration process and the application of logarithmic properties, highlighting potential limitations in their understanding of the mathematical steps involved.

francisg3
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I need to solve the following problem for a school assignment.

Let λ(t) denote the failuer rate of a system at time 't'. The failure rate is simple the number of failures in unit time. For example, if the unit time is one day, then λ is the average of failures per day. Let μ(t) denote the total number of failures from the first release (time t=0) until the current time, 't'. Then we have

(1) λ= dμ/dt

(2) μ = ∫λ(T) where the limits of integration are T=0 (lower) and T=t (upper)

Two models are used for estimating λ and μ. In the forumlae below, λ0 is the failure rate at time t=0, and α and β are constants

λ=λ0(1-μ/α)

λ=λ0e^- β μ



Use (1) or (2) to find λ and μ as functions of time for each model.



...I just need some direction. Thanks!
 
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for the case 1

\lambda = \lambda_o (1-\frac{\mu}{\alpha})

\frac{d\mu}{dt}=\lambda_o(1-\frac{\mu}{\alpha})

\frac{d\mu}{\left(1-\frac{\mu}{\alpha}\right)}=\lambda_o \,\, dt

now integrate within the given limits
 
so the resulting integration would be:

-α ln (μ -α) evaluated at 0 and 't' correct?
 
no...check the integration...remember to integrate both sides

and francis, i see that you have doubled up this thread...two threads are off
by half an hour. This is NOT a good practice. Somebody will report this to the mods.

Another thread going at

https://www.physicsforums.com/showthread.php?t=483138
 
I know I double posted, realized that this was not homework/coursework section but I don't know how to delete a post. Sorry.
 
I am also having problems with this question, I integrated:

\int\frac{dμ}{(1-\frac{μ}{α})} = \int\lambda0dt

And I got:

-αln(μ-α) = \lambda0t

I'm not sure if this is going in the right direction and what would I have to do after this in order to find μ(t) and λ(t)?

Thanks
 
kazo, use properties of logarithm...

-\alpha \ln (\mu-\alpha)=\lambda_o t

\ln (\mu-\alpha)=-\frac{\lambda_o t}{\alpha}

\mu-\alpha= \mbox{exp}\left[-\frac{\lambda_o t}{\alpha}\right ]

\mu (t) =\alpha +\mbox{exp}\left[-\frac{\lambda_o t}{\alpha}\right ]

and plug this to get \lambda as function of t
 
Forgot a +C. That's important.
 

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