System Reliability, Probability, & Statistics Flashcards
Series Reliability
Joint probability: R(system) = R(1) * …R(n)
Reliability
R(t) = e^-(lambda * t) R(t): reliability t: time lambda: failure rate; #failures / #time units during which items were exposed to failure
Parallel Reliability
Inverse Joint Probability R(system) = 1 - (1 - R(1)) * (1 - R(2))…(1 - R(n))
Z-Score
z = (x - mu) / sigma x: score mu: mean sigma: std dev
Permutations
n! / (n - k)!
Combinations
n! / k! * (n - r)!
Mutual Exclusive Probability
Sum the probabilities of all the individual events.
Probability of Independent Events
Multiply the probabilities.
P “OR”
p(inclusive or) = p(X) + p(Y) - p(X)p(Y)
Joint Probability (“AND”)
P = p(1) * p(2) * p(n)
r
r = [S(xy) / (S(xx) * S(yy))]^(1/2)
Poisson Distribution
P(r) = (((lambda * t)^r) * e^(-lambda * t)) / r!
t = time interval
lambda = average rate
r = given number of events
TI-30XS Data and Formulae Editing
Data Entry Formulae Editing Statistics Computation
MTBF
MTBF = 1 / lambda lambda: failure rate
Fault Tree Analysis: p(top event)
Sum the cut set probabilities