The following Reliability and Failure Analysis MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Reliability and Failure Analysis. We encourage you to answer these multiple-choice questions to assess your proficiency.
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A. To repeat or copy out (a passage) exactly
B. To calculate or estimate (a value) by interpolation
C. To infer (an unknown) from something that is known
D. To find (an approximate value) by guessing
A. To extrapolate a product’s failure behavior at normal conditions from life data.
B. To test products at higher stress levels.
C. To obtain reliability information about a product in a shorter time.
D. To obtain life data about a product at accelerated stress levels.
A. The product’s life at an accelerated stress level.
B. The ratio of the product’s life at the use stress level to its life at an accelerated stress level.
C. The amount of time the product can withstand being tested at an accelerated stress level.
D. The product’s life at the use stress level.
A. AMSAA maturity prediction model
B. Afternoon matinee pm
C. Advanced military planning and maneuvering
D. American morning pm
A. American Medical Student Association
B. Army Material Sample Acquisition
C. Army Material Systems Analysis Activity
D. Air and Missile Systems Analysis Agency
A. Analysis of Variance
B. Average Normalized Output Values
C. Average Normalized Output Value Analyzer
D. Analysis of Numerical Output Values
A. Ground rules and assumptions
B. Estimated completion dates
C. Team members
D. Scheduled work sessions
A. A model used to predict consumer behavior
B. A mathematical model used to calculate the probability of a system failure
C. An accelerated life testing model used in accelerated life testing to establish a relationship between absolute temperature and reliability.
D. A model used to forecast stock prices
A. The time at which all units in a population will have failed
B. The time at which X% of the units in a population will have failed
C. The average lifespan of a population
D. The time at which 50% of the units in a population will have failed
A. The time at which 10% of the population will have failed
B. The time at which 20% of the population will have failed
C. The time at which 30% of the population will have failed
D. The time at which 40% of the population will have failed
A. A diagram representing the physical aspects of a system
B. A reliability diagram
C. A diagram that represents how the components, represented by "blocks," are arranged and related function-wise in a larger system
D. A diagram that represents how the components, represented by "blocks," are arranged and related reliability-wise in a larger system.
A. Estimated data
B. Incomplete data
C. Approximate data
D. Censored data
A. Data in which some of the data points represent exact failure times.
B. Data in which not all of the data points represent exact failure times.
C. Data in which most of the data points represent exact failure times.
D. Data in which all of the data points represent exact failure times.
A. A series of items
B. A failure mode
C. A reliability system
D. A model
A. Data that consists of only censored failure times.
B. Data that consists of only right-censored failure times.
C. Data that consists of only exact failure times.
D. Data that consists of both exact and censored failure times.
A. A simple system with two inputs and one output
B. A block diagram that cannot be reduced to series and/or parallel systems.
C. An example of a series and parallel system
D. A block diagram that can be reduced to series and/or parallel systems
A. 50%
B. 75%
C. 100%
D. Conditional reliability
A. A measure of the precision of a statistical estimate
B. The reliability of a product
C. The percentage of time an estimate should fall within a specified range
D. The range of values for a particular estimate
A. A graphical representation of the possible solutions to the likelihood equation.
B. A graphical representation of the possible solutions to the probability equation.
C. A graphical representation of the possible solutions to the likelihood ratio equation.
D. A graphical representation of the possible solutions to the confidence interval equation.
A. It is often integrated with the PFD worksheet and/or process FMEA.
B. Keeping track of characteristics that affect a product during the manufacturing process
C. To keep track of the manufacturing process
D. To ensure that the desired product specifications are met during the manufacturing process
A. Arrhenius model
B. WLF model
C. Eyring model
D. Cumulative damage model
A. To determine the sequence and time-frame for the corrective actions that will be performed
B. To prioritize issues that takes into account the probability of failure for the item
C. To prioritize issues that takes into account the probability of success for the item
A. A function obtained by integrating the failure distribution pdf.
B. The unreliability function.
C. A function that measures the variability of data over time.
D. A function obtained by differentiating the failure distribution pdf.
A. A method for determining the reliability of complex systems
B. A method for determining the repair time of complex systems
C. A method for determining the downtime of complex systems
D. A method for determining the mean time to failure of complex systems
A. To determine the amount of time needed to produce a product.
B. To improve the performance of a product.
C. To predict the point at which each unit in the sample is expected to fail.
D. To assess the quality of a product.
A. To determine the effects of failures in a system.
B. To find potential failure modes in a system.
C. To improve the design of a subsystem or component.
D. To identify the causes of failure in a system.
A. A Faulty Made-up Example Analysis
B. A Failure Modes and Effects Analysis
C. A Flexible Manufacturing Execution Agent
D. A Function Module Exchange Array
A. To increase the product's life cycle
B. To reduce the product's life cycle
C. To ensure the product is reliable
D. To make the product more expensive
A. Design reviews based on factory settings
B. Design reviews based on feedback forms
C. Design reviews based on failure mode
D. Design reviews based on financial reports
A. To estimate the likelihood of detecting a problem before it reaches the end user or customer.
B. To assess the severity of each failure.
C. To identify the root cause of each failure.
D. To track the number of failures for each cause.
A. To estimate the likelihood of prior detection for each cause of failure.
B. To estimate the likelihood of customer satisfaction for each cause of failure.
C. To estimate the likelihood of success for each cause of failure.
D. To estimate the likelihood of failure for each detection rating.
A. The amount of time during which a repairable unit is operating.
B. The amount of time during which an irreparable unit is not operating.
C. The amount of time during which an irreparable unit is operating.
D. The amount of time during which a repairable unit is not operating.
A. Cumulative failures
B. Duane's relation
C. A reliability growth profile
D. AMSAA model
A. A method for determining the reliability of complex systems.
B. A method for determining the probability of mutually exclusive events.
C. A method for determining the probability of system success.
D. A method for determining the probability of system failure.
A. A constant failure rate for the product being modeled.
B. The product will fail immediately.
C. The product will fail after a long time.
D. The product will never fail.
A. A math function describing how something changes over time
B. A type of regression analysis
C. A lifetime statistical distribution that assumes a constant failure rate for the product being modeled.
D. A statistical distribution for a random process
A. A life insurance policy that pays benefits to the policyholder's beneficiaries
B. An accelerated life testing model based on quantum mechanics
C. A life insurance policy that pays benefits to the policyholder's estate
D. A measure of the rate of return on an investment
A. Mean life.
B. Failure rate function
C. A mathematical model that describes the probability of failures occurring over time.
D. Reliability function
A. Failure distribution
B. Poisson distribution
C. Joint probability distribution
D. Normal distribution
A. Faulty effects check
B. Functional effects control
C. Failure effect categorization
D. Failure event coordinators
A. Faulty Materials and Equipment Analysis
B. Flight Mechanism for Exportation of Aircraft
C. Failure mode and effects analysis
D. Flexible Manufacturing Enterprise Agreement
A. Fault tree analysis
B. Fault modes and effects analysis
C. Failure modes and effects analysis
D. Failure modes and reliability analysis
A. Failure modes and reliability analysis
B. Frequency and mode analysis
C. Fmre analysis
D. Failure modes and effects analysis
A. X-ray analysis
B. Only FMEA
C. Criticality analysis
D. Causal analysis
A. Fundamental analysis of failure modes and effect control
B. Functional misalignment and effects criticality analysis
C. Failure modes, effects and criticality analysis
D. Failure modes and effects analysis
A. Failures per unit time
B. Unit time per failure
C. Time per unit failure
D. Failures per unit time among surviving units
A. To determine the slope of a line.
B. To determine confidence bounds when using maximum likelihood estimation (MLE) techniques.
C. To calculate the area of a triangle.
D. To solve for x in the equation ax + b = c.
A. The variability of estimated parameter values
B. The average of the data used to make the parameter estimates
C. The confidence bounds when using maximum likelihood estimation techniques
D. The variability of the data used to make the parameter estimates
A. Select a life-stress relationship for each stress
B. Test for Arrhenius, Inverse Power Law or Exponential life-stress relationships
C. Estimate multiple thermal stresses as acceleration factors
D. Generate a log-linear relationship for each stress
A. A model that is not an accelerated life testing model
B. A model that can account for multiple non-thermal stresses as acceleration factors
C. A model that cannot account for any stress factors
D. A model that can only account for one stress factor