Human Reliability Flashcards
(71 cards)
Definition of Human Reliability
Capacity of Humans to complete a task under given conditions within defined time and defined acceptance limits
Definition of Reliability Paramaters (theoretical, priori)
Characterizes the probability distributoin of a relability feature
Definition of Reliability Characteristics (empirical, posteriori
Characterize the Frequency distribution of a reliability feature
Definition of Availability Measure
Time in which the machine is available for work:
V = MTBF/(MTBF + MTTR)
MTBF = Mean time between Failures
MTTR = Mean time to Repair
Definition of Residual Risk
The Risk remaining after implementation of safety measures.
Passive vs Active Safety
Passive = Reducing the probability of damage after ocurrence of unwanted event (Seat belts)
Active = Reducing probability of an unwanted event happening (Autonomous Emergency Breaking)
Risk Equation
Risk = Probability x Severity
Human Error Probability Equation
HEP = N. of Errors Observed (n) / N. of Possibilities for an Error (N)
Binomial vs Poisson vs Weibull Distribution
Binomial = Finite number of samples
Poisson = Infinite Samples (Or very very large number of samples)
Weibull = Mostly useful to calculate lifespan, durability (Involves Time)
Calculating Probability with Binomial Distribution (Equation)
P(X = k) = (nk)(p)k(q)n-k
Where p = error probability
q = 1-p
Calculating Probability with Poisson Distribution
P(X = k) = ((n p)k/k!) e-np
where n x p is the expected value (µ) so:
P(X = k) = ((µ)k/k!) e-µ
Calculating Lifespan (failure) with Weibull Distribution
F(t) = 1 - e-(t/T)b
where T = time to which 63.2% of components have failed
b = shape parameter
F(t) = probability that the lifespan is at most equal to t
Survival Probability (Equation)
R(t) = 1- F(t)
1 - Failure probability at certain time
Bayes Theorem if Dependence is Assumed (equation):
P(A Ո B) = P(A|B)P(B) = P(B|A)P(A)
P(A|B) = P(B|A)P(A) / P(B)
P(A Ո B) = Probability that both A and B are True
Law of Total Probability (equation) P(B)
P(B) = P(B|A)P(A) + P(B|A-)P(A-)
Bayes Theorem (Equation)
P(A|B) = (P(B|A)P(A))/(P(B|A)P(A)+P(B|A-)P(A-))
Probability of A ocurring given that B is true
The probability of A and B being true is:
P(A and B) = P(A) x P(B)
Probability of A or B or both being true
P(A or B) = 1-[ (1-P(A)) x (1-P(B)) ]
Only applies if A and B are independent
Probability of either A or B (XOR)
P(A “or” B) = P(A) + P(B)
either A or B (NOT Both)
How is High Quality Ergonomics Achieved?
By:
-Use of a system-approach
-Design-based approach
-Equal performance in: performance and well-being.
What is the main approach for the analysis of human factors?
Organization, Machine, and Humans as separate entities but working with eachother.
Calculate Work Quality
Result/Task
Calculate work Performance
Work Quality/Time
What is “Working Task”?
What is requested to the operators. To do a task under given conditions and procedures to achieve a working result.