M.Tech (R22)
Mathematics
After completion of the course, students will be able to:
RELIABILITY AND PROBABILITY Rules for combining probabilities of events, Definition of Reliability, Significance of the terms appearing in the definition, Probability distribution, Random variables, Probability density and distribution functions, Mathematical expectation, Binominal distribution, Poisson distribution, Normal distribution, Exponential distribution, Weibull distribution.
HAZARD RATE Derivation of the reliability function in terms of the hazard rate, Failures, causes of failures, Types of failures (early failures, chance failures and wear-out failures), Bath tub curve, Preventive and corrective maintenance, Modes of failure, Measures of reliability, Mean time to failure and Mean time between failures.
CLASSIFICATION OF ENGINEERING SYSTEMS Series, Parallel and Series-Parallel systems, Expressions for the reliability of the basic configurations. Reliability evaluation of non-series-parallel configurations: Decomposition, Path based and cutest based methods, Deduction of the Paths and cut-sets from Event tree.
DISCRETE MARKOV CHAINS General modeling concepts, stochastic transitional probability matrix, Time dependent probability evaluation and limiting state probability evaluation of one component repairable model, Absorbing states. Continuous Markov Processes: Modeling concepts, State space diagrams, Stochastic Transitional Probability Matrix, evaluating time dependent and limiting state, Probabilities of one component repairable model. Evaluation of limiting state probabilities of two component repairable model.
FREQUENCY AND DURATION TECHNIQUES Frequency and duration concepts, Application to multi-state problems, Frequency balance approach. Approximate System Reliability Evaluation: Series system, Parallel system, Network reduction techniques, Cut set approach, Common mode failures, modeling and evaluation techniques, Examples.
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