Try to answer these 100+ Reliability Engineering MCQs and check your understanding of the Reliability Engineering subject.
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A. Accelerated life testing
B. Extreme life testing
C. Extraordinary life testing
D. Maximum life testing
A. Genetic engineering
B. Nano machines
C. A.D.D. testing
D. Life data
E. Genetics
A. American Motors Corporation
B. American Motor Speed Association
C. AMSAA maturity prediction model
D. American Multi-Service Assurance Association
E. Annual Member Meeting of Members
A. American Mosaic Society
B. Army Material Systems Analysis Activity
C. Association of Military Service Academies
D. American Metal Scrap Association
E. American Motorcyclist Association
A. T-test
B. ANOVA
C. Attribution error
D. SEM
E. The t-test
A. Testing the difference between two means
B. Determining whether there is a difference in means
C. Constructing a multiple regression model
D. Analysis of variance
E. Testing the difference between more than two means
A. A greater sense of community
B. Bitcoin
C. Liberty
D. Morality
E. Democracy
A. About 100 percent
B. About 20 percent
C. About 80 percent
A. Timeline
B. Project schedule
C. Analysis plan
D. Task list
A. Johannes Michael Faraday
B. Svante Arrhenius
C. James Clerk Maxwell
D. J.J. Thomson
E. Jakob von Uexküll
A. Arrhenius model
B. Carnot model
C. Ideal gas model
D. Kelvin model
E. Carnot heat engine model
A. How easy it is to use
B. How quickly it can be repaired
C. How easy it is to modify
D. How often it needs to be repaired
E. How much work it requires
A. The probability that an item will be able to function
B. The quality of an item that will make it able to function
C. The ability of an item to resist damage
D. The reliability of an item that will make it able to function
A. 50%
B. 30%
C. 10%
D. 20%
E. 25%
A. A system diagram
B. A reliability block diagram or RBD
C. A functional block diagram
D. A wiring diagram
E. A block diagram
A. Political correctness
B. Left-censoring
C. The right-hemisphere bias
D. Liberal bias
E. The left-hemisphere bias
A. They are all susceptible to error
B. They all have some level of inaccuracy
C. Not all of the data points represent exact failure times
D. They all reduce freedom of expression
E. They all rely on human interpretation
A. Competing
B. Temperature
C. Manufacturing
D. Load
E. Power
A. A system that will indicate when items are no longer needed
B. A system that tests items to determine how often they produce correct results
C. Items that fail due to more than one failure mode
D. Items that have a fixed number of failures
E. A system that will indicate when items have failed
A. Data that consists of only exact failure times
B. Data that has been collected in a timely manner
C. Data that is completely accurate
A. The end of a project
B. The completion of a set of data
C. Exact failure times
A. System with delays
B. Complex system
C. Serial system
D. System with feedback
E. Parallel system
A. Chemical equation
B. Thermodynamic model
C. Block diagram
D. Circuit
E. Flowchart
A. 600
B. 300
C. 100
D. 500
E. 1000
A. Conditional reliability
B. Sample size
C. Conjugate reliability
D. Time to failure
E. Predictive validity
A. Confidence bounds
B. Margin of error
C. Standard error
D. Mean
A. Five
B. Ten
C. Nine
D. None
E. Eight
A. A graphical representation of the possible solutions to the likelihood ratio equation
B. A visualization technique used to depict data with varying frequency
C. A graphical representation of the data points within a given sample
D. A graphical representation of the results of a Chi-square test
E. A graphical representation of the variation in a population
A. To determine the trend of data
B. To identify outliers
C. To determine confidence bounds
D. To compare shapes
A. Process plan
B. Material flow plan
C. Control plan
D. Sequence plan
A. Response surface model
B. Catastrophe model
C. Job stress model
D. Time-variant response model
E. Cumulative damage model
A. Accelerated life testing model
B. Advanced life support model
C. Accelerated life cycle model
D. Advanced locomotive control model
E. Advanced life support protocol
A. Cause and effect analysis
B. Probability analysis
C. Criticality analysis
D. Failure mode and effects analysis
E. Failure analysis
A. To prioritize corrective actions
B. To determine the corrective actions to take
C. To determine the sequence and time-frame
D. To communicate corrective actions to the affected stakeholders
A. Normalizing the input data
B. Taking the derivative of the failure distribution pdf
C. Integrating the failure distribution pdf
D. Exponential weighting
E. Computing the cumulative hazard function
A. Determining sample size
B. Determining the chance of success
C. Decomposition method
D. Determining how likely something is
E. Determining the probability of an event
A. Statistical process control
B. Failure analysis
C. Failure mode and effects analysis
D. Degradation analysis
E. Pareto charting
A. High risk conditions
B. Failed conditions
C. Extreme conditions
D. Normal conditions
A. Failure FMEA
B. Failure Mode and Effects Analysis
C. Fault Mode and Effect Analysis
D. Fault FMEA
E. Design FMEA
A. Improving the design
B. Determining the cause of failures
C. Detecting potential failures
D. Determining the impact of failures
E. Testing the component
A. Design assurance
B. Design for reliability
C. Failure analysis
D. Reliability engineering
A. A process in which a product is subjected to multiple rounds of reliability testing
B. A process that uses computer simulation to study the reliability of products
C. A process in which a product is reprocessed to improve its reliability
D. A process in which duplicate products are produced to establish a baseline for comparison
E. A process in which a set of reliability engineering practices are utilized early in a product's design
A. DRBFM
B. ABCD
C. PERT
D. 5S
A. Qualitative
B. Quantitative
C. Probabilistic
D. Neither
A. The probability of a given cause of failure leading to a detection rating
B. The likelihood of prior detection for each cause of failure
C. The likelihood of detecting a failure for each cause
D. The number of failures that will be detected for each type of cause
E. The number of potential causes of failure
A. Hours
B. Failures
C. Minutes
D. Downtime
E. Outages
A. Cumulative test time and cumulative pass rate
B. Cumulative test time and cumulative failures
C. Cumulative test time and average grade
D. Cumulative test time and percentage of students achieving a standard
A. Reliability growth model
B. Time-series model
C. Cumulative model
D. Cumulative distribution function
E. Life-cycle model
F. Umulative test time and number of questions
A. Frequencies
B. Unreliability
C. Probability
A. The ability of a system to produce stable output
B. The distribution of weather patterns
C. The organization of knowledge within a system
D. The spatial distribution of a population
E. The reliability of complex systems