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May 10, 2017 9:23 AM
(1401 views)

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May 15, 2017 10:00 AM
(2019 views)

Solution

Hi, Mayre! Some people get hung up on the phrase "Monte Carlo" since it means something very specific to them, but let's just talk about simulation for a moment. For simulations to be successful, a few things are required: 1) the number generator produces values that pass tests for randomness, 2) enough samples are generated to yield accurate results, 3) proper sampling techniques are used, 4) the algorithm used is valid for what is being modeled, and 5) it simulates the phenomenon in question. JMP can deal well with numbers 1 and 2, but 3, 4, and 5 are up to the modeler (you) to specify correctly. It has been my experience that 4 and 5 are the most difficult and error-prone. I advise you to spend enough time studying those requirements as they relate to your situation. For instance, it might be better to use distributions chosen by theory than by best fit. By the way, one definition of Probability is a relative frequency of occurrence. Since you know the frequency of faults, and the total number of samples generated, why wouldn't that be an estimate of fault probability?

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May 25, 2017 7:13 AM
(1897 views)

Solution

Hi Kevin,

I did the simulation considering the probability as the frequency the faults and the total number of samples generated , then I got the probability of faults. The algorithm used was the probability formula for independents events. I considered the exponencial distribution the better because the faults values can not be negative.

Thank you a lot!!

7 REPLIES

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May 10, 2017 10:19 AM
(1391 views)

Hi, Mayre!

I don't understand your request.

JMP and JSL have great simulation capabilities.

If you could reformulate your problem, your data, and your intended approach with considerably more detail, perhaps we could help?

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May 10, 2017 10:46 AM
(1386 views)

Hi Kevin,

I need to simulate the failure probability of specific event (Top Event of FTA - FAILURE TREE ANALYSIS).

I performed the following steps:

I created the table with the data:

1) X (rows) - months and Y (column) the frequency that are historical dates of 23 months of observations.

example: 1 1

2 1

3 0 ......

2) Fit distributions to historical subassembly (total 5 subassembly)

3) Created new data (with new column) set of with random draws from the distributions for the five subassemblies

4) Created the new colunm (TOP EVENT), but the colunm should be the failure probabilty of TOP EVENT ( TOPO EVENT = TOTAL PROBABILITY)

Question: I can not add the frequencies of failures. I need the calculate the probability. The final formula is:

P(T) = P(F1)+P(F3)+P(F4)+P(F5)+P(F6) - (P(F1).P(F2) - P(F3).P(F4) - P(F4).P(F5) - P(F5).P(F6)) - P(F1).P(F3).P(F4).P(F5).P(F6)

How do I transform frequency in probability in this case?

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May 10, 2017 6:43 PM
(1354 views)

Hi, Mayre!

I'm assuming if a subsystem fails, the entire system fails. Is that correct?

Are the subsystems completely independent?

Did you make a mistake in your formula, leaving out p(F2)? Or was that your intention?

More information makes it easier to help.

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May 11, 2017 8:19 AM
(1318 views)

Hi, Kevin

I´m following the steps the link above: "Using JMP to Assess Risk in Financial Predictions by Using Monte Carlo Simulations

But my work I´m using the FTA (Failure Tree Analysis) for calculate the probability the TOP EVENT. I´m using the cuts sets and the final formula was

E = F1 +F3+F4+F5+F6

As the event are independents, the probability should be calculate. But my result is in frequency of faults is not probability.

I hope help you!!

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May 15, 2017 10:00 AM
(2020 views)

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May 25, 2017 7:13 AM
(1898 views)

Hi Kevin,

I did the simulation considering the probability as the frequency the faults and the total number of samples generated , then I got the probability of faults. The algorithm used was the probability formula for independents events. I considered the exponencial distribution the better because the faults values can not be negative.

Thank you a lot!!

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Jun 21, 2017 8:56 AM
(891 views)

Hello Community,

I did the Monte Carlo simulation with 10.000 iterations, now I need to know what the statistical parameters of simulation evaluation. What is the best statistical parameter to evaluate the simulation.

Best regards

Mayre

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