5. consider the example below, where the states are Condition State and the transition matrix is 0 1 2 3 Good as new Operable-minimum deterioration πto = Operable major deterioration Inoperable and replaced by a good-as-new machine P = we found that the steady-state probabilities are 2 π1 13' 0 0 0 1 7 13 78314 0 1 1 8 16 16 0 HAIRLINO HTBLINO 1 1 8 8 1 1 2 π₂ = 2 13' T3 = 2 13 (a) Find the expected recurrence time for state 0 (i.e., the expected length of time a machine can be used before it must be replaced) by solving a linear system for Moo, 10, 20, and μ30. 1 (b) Find the expected recurrence time for state 0 directly by the formula μ0o = TTO
5. consider the example below, where the states are Condition State and the transition matrix is 0 1 2 3 Good as new Operable-minimum deterioration πto = Operable major deterioration Inoperable and replaced by a good-as-new machine P = we found that the steady-state probabilities are 2 π1 13' 0 0 0 1 7 13 78314 0 1 1 8 16 16 0 HAIRLINO HTBLINO 1 1 8 8 1 1 2 π₂ = 2 13' T3 = 2 13 (a) Find the expected recurrence time for state 0 (i.e., the expected length of time a machine can be used before it must be replaced) by solving a linear system for Moo, 10, 20, and μ30. 1 (b) Find the expected recurrence time for state 0 directly by the formula μ0o = TTO
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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