{"product_id":"introduction-to-reliability-engineering-isbn-9781119640561","title":"Introduction to Reliability Engineering","description":"\u003cb\u003eIntroduction to Reliability Engineering\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eA complete revision of the classic text on reliability engineering, written by an expanded author team with increased industry perspective\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eIntroduction to Reliability Engineering\u003c\/i\u003e provides a thorough and well-balanced overview of the fundamental aspects of reliability engineering and describes the role of probability and statistical analysis in predicting and evaluating reliability in a range of engineering applications. Covering both foundational theory and real-world practice, this classic textbook helps students of any engineering discipline understand key probability concepts, random variables and their use in reliability, Weibull analysis, system safety analysis, reliability and environmental stress testing, redundancy, failure interactions, and more. \u003c\/p\u003e\u003cp\u003eExtensively revised to meet the needs of today’s students, the Third Edition fully reflects current industrial practices and provides a wealth of new examples and problems that now require the use of statistical software for both simulation and analysis of data. A brand-new chapter examines Failure Modes and Effects Analysis (FMEA) and the Reliability Testing chapter has been greatly expanded, while new and expanded sections cover topics such as applied probability, probability plotting with software, the Monte Carlo simulation, and reliability and safety risk. Throughout the text, increased emphasis is placed on the Weibull distribution and its use in reliability engineering. Presenting students with an interdisciplinary perspective on reliability engineering, this textbook: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePresents a clear and accessible introduction to reliability engineering that assumes no prior background knowledge of statistics and probability\u003c\/li\u003e \u003cli\u003eTeaches students how to solve problems involving reliability data analysis using software including Minitab and Excel\u003c\/li\u003e \u003cli\u003eFeatures new and updated examples, exercises, and problems sets drawn from a variety of engineering fields\u003c\/li\u003e \u003cli\u003eIncludes several useful appendices, worked examples, answers to selected exercises, and a companion website\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eIntroduction to Reliability Engineering, Third Edition\u003c\/i\u003e remains the perfect textbook for both advanced undergraduate and graduate students in all areas of engineering and manufacturing technology. \u003c\/p\u003e\u003cp\u003e\u003cb\u003e1 INTRODUCTION  \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Reliability Defined\u003c\/p\u003e \u003cp\u003e1.2 Performance, Cost and Reliability\u003c\/p\u003e \u003cp\u003e1.3 Quality, Reliability and Safety Linkage\u003c\/p\u003e \u003cp\u003e1.4 Quality, Reliability and Safety Engineering Tasks\u003c\/p\u003e \u003cp\u003e1.5 Preview\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 PROBABILITY AND DISCRETE DISTRIBUTIONS \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction\u003c\/p\u003e \u003cp\u003e2.2 Probability Concepts\u003c\/p\u003e \u003cp\u003eSample Space\u003c\/p\u003e \u003cp\u003eOutcome\u003c\/p\u003e \u003cp\u003eEvent\u003c\/p\u003e \u003cp\u003eProbability Axioms\u003c\/p\u003e \u003cp\u003eMore than two events\u003c\/p\u003e \u003cp\u003eCombinations and Permutations\u003c\/p\u003e \u003cp\u003e2.3 Discrete Random Variables\u003c\/p\u003e \u003cp\u003eProperties of Discrete Variables\u003c\/p\u003e \u003cp\u003eThe Binomial Distribution\u003c\/p\u003e \u003cp\u003eThe Poisson Distribution\u003c\/p\u003e \u003cp\u003eConfidence Intervals\u003c\/p\u003e \u003cp\u003eMotivation for Confidence Intervals\u003c\/p\u003e \u003cp\u003eIntroduction to Confidence Intervals\u003c\/p\u003e \u003cp\u003eBinomial Confidence Intervals\u003c\/p\u003e \u003cp\u003eCumulative sums of the Poisson Distribution (Thorndike Chart)\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Exponential Distribution and Reliability Basics\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction\u003c\/p\u003e \u003cp\u003e3.2 Reliability Characterization\u003c\/p\u003e \u003cp\u003eBasic definitions\u003c\/p\u003e \u003cp\u003eThe Bathtub curve\u003c\/p\u003e \u003cp\u003e3.3 Constant Failure Rate model\u003c\/p\u003e \u003cp\u003eThe Exponential Distribution\u003c\/p\u003e \u003cp\u003eDemand failures\u003c\/p\u003e \u003cp\u003eTime determinations\u003c\/p\u003e \u003cp\u003e3.4 Time Dependent Failure rates\u003c\/p\u003e \u003cp\u003e3.5 Component Failures and Failure Modes\u003c\/p\u003e \u003cp\u003eFailure mode rates\u003c\/p\u003e \u003cp\u003eComponent counts\u003c\/p\u003e \u003cp\u003e3.6 Replacements\u003c\/p\u003e \u003cp\u003e3.7 Redundancy\u003c\/p\u003e \u003cp\u003eActive and Standby Redundancy\u003c\/p\u003e \u003cp\u003eActive Parallel\u003c\/p\u003e \u003cp\u003eStandby Parallel\u003c\/p\u003e \u003cp\u003eConstant Failure Rate Models\u003c\/p\u003e \u003cp\u003e3.8 Redundancy limitations\u003c\/p\u003e \u003cp\u003eCommon-mode failures\u003c\/p\u003e \u003cp\u003eLoad sharing\u003c\/p\u003e \u003cp\u003eSwitching \u0026amp; Standby failures\u003c\/p\u003e \u003cp\u003eCool, Warm and Hot Standby\u003c\/p\u003e \u003cp\u003e3.9 Multiply Redundant Systems\u003c\/p\u003e \u003cp\u003e1\/N Active Redundancy\u003c\/p\u003e \u003cp\u003e1\/N Standby Redundancy\u003c\/p\u003e \u003cp\u003em\/N Active Redundancy\u003c\/p\u003e \u003cp\u003e3.10 Redundancy Allocation\u003c\/p\u003e \u003cp\u003eHigh and Low level redundancy\u003c\/p\u003e \u003cp\u003eFail-safe and Fail-to-Danger\u003c\/p\u003e \u003cp\u003eVoting Systems\u003c\/p\u003e \u003cp\u003e3.11 Redundancy in Complex Configurations\u003c\/p\u003e \u003cp\u003eSerial-Parallel configurations\u003c\/p\u003e \u003cp\u003eLinked configurations\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Continuous Distributions- Part 1 Normal \u0026amp; Related Distributions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction\u003c\/p\u003e \u003cp\u003e4.2 Properties of Continuous Random variables\u003c\/p\u003e \u003cp\u003eProbability Distribution Functions\u003c\/p\u003e \u003cp\u003eCharacteristics of a Probability Distribution\u003c\/p\u003e \u003cp\u003eSample Statistics\u003c\/p\u003e \u003cp\u003eTransformation of Variables\u003c\/p\u003e \u003cp\u003e4.3 Empirical Cumulative Distribution Function\u003c\/p\u003e \u003cp\u003e4.4 Uniform Distribution\u003c\/p\u003e \u003cp\u003e4.5 Normal and Related Distributions\u003c\/p\u003e \u003cp\u003eThe Normal Distribution\u003c\/p\u003e \u003cp\u003eCentral Limit Theorem\u003c\/p\u003e \u003cp\u003eThe Central Limit Theorem in Practice\u003c\/p\u003e \u003cp\u003eThe Log Normal Distribution\u003c\/p\u003e \u003cp\u003eLog Normal Distribution from a Physics of Failure Perspective\u003c\/p\u003e \u003cp\u003e4.6 Confidence Intervals\u003c\/p\u003e \u003cp\u003ePoint \u0026amp; Interval Estimates\u003c\/p\u003e \u003cp\u003eEstimate of the Mean\u003c\/p\u003e \u003cp\u003eNormal \u0026amp; Lognormal parameters\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Continuous Distributions- Part 2 Weibull \u0026amp; Extreme Value Distributions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction\u003c\/p\u003e \u003cp\u003eThe “weakest link” theory from a Physics of Failure point of view\u003c\/p\u003e \u003cp\u003eUses of Weibull and Extreme Value Distributions\u003c\/p\u003e \u003cp\u003eOther Considerations\u003c\/p\u003e \u003cp\u003eAge parameters and sample sizes\u003c\/p\u003e \u003cp\u003eEngineering Changes, Maintenance Plan Evaluation and Risk Prediction\u003c\/p\u003e \u003cp\u003eWeibulls with cusps or curves\u003c\/p\u003e \u003cp\u003eSystem Weibulls\u003c\/p\u003e \u003cp\u003eNo failure Weibulls\u003c\/p\u003e \u003cp\u003eSmall sample Weibulls                  \u003c\/p\u003e \u003cp\u003e5.2 Statistics of the Weibull Distribution\u003c\/p\u003e \u003cp\u003eWeibull “Mathematics”\u003c\/p\u003e \u003cp\u003eThe Weibull Probability Plot\u003c\/p\u003e \u003cp\u003eProbability Plotting Points—Median Ranks\u003c\/p\u003e \u003cp\u003eHow to do a “Weibull Analysis”\u003c\/p\u003e \u003cp\u003eWeibull plots and their estimates of b, h\u003c\/p\u003e \u003cp\u003eThe 3-Parameter Weibull didn’t work, what are my choices?\u003c\/p\u003e \u003cp\u003eThe data has a “dogleg” bend or cusp when plotted on Weibull paper.\u003c\/p\u003e \u003cp\u003eSteep Weibull slopes (β’s)  may hide problems.\u003c\/p\u003e \u003cp\u003eLow Time Failures and close Serial numbers---Batch problems\u003c\/p\u003e \u003cp\u003eMaximum Likelihood Estimates of β and η\u003c\/p\u003e \u003cp\u003eWeibayes Analysis\u003c\/p\u003e \u003cp\u003eWeibayes background\u003c\/p\u003e \u003cp\u003eWeibull Analysis with failure times only and unknown times on remaining population\u003c\/p\u003e \u003cp\u003eShifting Weibull Procedure\u003c\/p\u003e \u003cp\u003eConfidence bounds and the Weibull Distribution\u003c\/p\u003e \u003cp\u003eArbitrary Censored Data\u003c\/p\u003e \u003cp\u003eThe Weibull Distribution in a System of Independent failure modes\u003c\/p\u003e \u003cp\u003e5.3 Extreme Value Distributions\u003c\/p\u003e \u003cp\u003eSmallest \u0026amp; Largest Extreme Value distributions\u003c\/p\u003e \u003cp\u003eExtreme Value and Weibull Distribution Point Estimates \u0026amp; Confidence Intervals\u003c\/p\u003e \u003cp\u003e5.4 Introduction to Risk analysis\u003c\/p\u003e \u003cp\u003eRisk Analysis “Mathematics”\u003c\/p\u003e \u003cp\u003eSupplement 1- Weibull derived from weakest link theory\u003c\/p\u003e \u003cp\u003eSupplement 2: Comparing two distributions using Supersmith™\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 RELIABILITY TESTING \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction\u003c\/p\u003e \u003cp\u003e6.2 Attribute Testing (Binomial Testing)\u003c\/p\u003e \u003cp\u003eThe Classical Success Run\u003c\/p\u003e \u003cp\u003eZero Failure Attribute Tests\u003c\/p\u003e \u003cp\u003eNon-ZERO Failure Attribute Tests\u003c\/p\u003e \u003cp\u003e6.3 Constant Failure Rate Estimates\u003c\/p\u003e \u003cp\u003eCensoring on the Right\u003c\/p\u003e \u003cp\u003eMTTF Estimates\u003c\/p\u003e \u003cp\u003eConfidence Intervals\u003c\/p\u003e \u003cp\u003e6.4 Weibull Substantiation and Reliability Testing\u003c\/p\u003e \u003cp\u003eZero-Failure Test Plans for Substantiation Testing\u003c\/p\u003e \u003cp\u003eWeibull Zero-Failure test Plans for Reliability Testing\u003c\/p\u003e \u003cp\u003eDesigning the Test Plan\u003c\/p\u003e \u003cp\u003eTotal Test Time\u003c\/p\u003e \u003cp\u003eWhy not Simply Test to Failure?\u003c\/p\u003e \u003cp\u003e6.5 How to Reduce Test Time\u003c\/p\u003e \u003cp\u003eRun (simultaneously) more test samples than you intend to fail\u003c\/p\u003e \u003cp\u003eSudden Death Testing\u003c\/p\u003e \u003cp\u003eSequential Testing\u003c\/p\u003e \u003cp\u003e6.6 Normal \u0026amp; Lognormal Reliability Testing\u003c\/p\u003e \u003cp\u003e6.7 Accelerated Life Testing\u003c\/p\u003e \u003cp\u003eCompressed Time Testing\u003c\/p\u003e \u003cp\u003eAdvanced Stress Testing-Linear \u0026amp; Acceleration Models\u003c\/p\u003e \u003cp\u003eLinear Model Stress testing\u003c\/p\u003e \u003cp\u003eAdvanced Stress Testing – Acceleration Models\u003c\/p\u003e \u003cp\u003eThe Arrhenius Model\u003c\/p\u003e \u003cp\u003eThe Inverse Power Law Model\u003c\/p\u003e \u003cp\u003eOther Acceleration Models\u003c\/p\u003e \u003cp\u003e6.8 Reliability Enhancement Procedures\u003c\/p\u003e \u003cp\u003eReliability Growth Modeling \u0026amp; Testing\u003c\/p\u003e \u003cp\u003eCalculation of Reliability Growth parameters\u003c\/p\u003e \u003cp\u003eGoodness of Fit tests for Reliability Growth Models\u003c\/p\u003e \u003cp\u003eEnvironmental Stress Screening\u003c\/p\u003e \u003cp\u003eWhat “Screens” are used for ESS?\u003c\/p\u003e \u003cp\u003eThermal cycling\u003c\/p\u003e \u003cp\u003eRandom Vibration\u003c\/p\u003e \u003cp\u003eOther Screens\u003c\/p\u003e \u003cp\u003eHighly Accelerated Life Tests\u003c\/p\u003e \u003cp\u003eHighly Accelerated Stress Screening\u003c\/p\u003e \u003cp\u003eSupplement 1 Substantiation Testing: Characteristic Life multipliers for Zero failure Test  at 80%, 90%, 95%, 99% Confidence\u003c\/p\u003e \u003cp\u003eSupplement 2 Substantiation Testing Tables for Zero failure Test  at 80%, 90%, 95%, 99% Confidence\u003c\/p\u003e \u003cp\u003eSupplement 3 CRITICAL VALUES FOR CRAMER-VON MISES GOODNESS-OF-FIT TEST\u003c\/p\u003e \u003cp\u003eSupplement 4 Other Reliability Growth Models\u003c\/p\u003e \u003cp\u003eSupplement 5 Chi-Square Table\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Failure Modes \u0026amp; Effects Analysis (FMEA) – Design \u0026amp; Process\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction\u003c\/p\u003e \u003cp\u003e7.2 Functional FMEA\u003c\/p\u003e \u003cp\u003e7.3 Design FMEA\u003c\/p\u003e \u003cp\u003eDesign FMEA Procedure\u003c\/p\u003e \u003cp\u003e7.4 Process FMEA(PFMEA)\u003c\/p\u003e \u003cp\u003e7.5 FMEA Summary\u003c\/p\u003e \u003cp\u003eFMEA Outputs\u003c\/p\u003e \u003cp\u003eFMEA Pitfalls that can be prevented\u003c\/p\u003e \u003cp\u003eSupplement 1 Shortcut tables for stalled FMEA Teams\u003c\/p\u003e \u003cp\u003eSupplement 2 Future changes in FMEA Approaches\u003c\/p\u003e \u003cp\u003eSupplement 3 DFMEA and PFMEA Forms\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 LOADS, CAPACITY, AND RELIABILITY \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction\u003c\/p\u003e \u003cp\u003e8.2 Reliability with a Single Loading\u003c\/p\u003e \u003cp\u003eLoad Application\u003c\/p\u003e \u003cp\u003eDefinitions\u003c\/p\u003e \u003cp\u003e8.3 Reliability and Safety Factors\u003c\/p\u003e \u003cp\u003eNormal Distributions\u003c\/p\u003e \u003cp\u003eLognormal Distributions\u003c\/p\u003e \u003cp\u003eCombined Distributions\u003c\/p\u003e \u003cp\u003e8.4 Repetitive Loading\u003c\/p\u003e \u003cp\u003eLoading Variability\u003c\/p\u003e \u003cp\u003eVariable Capacity\u003c\/p\u003e \u003cp\u003e8.5 The Bathtub Curve—Reconsidered\u003c\/p\u003e \u003cp\u003eSingle Failure Modes\u003c\/p\u003e \u003cp\u003eCombined Failure Modes\u003c\/p\u003e \u003cp\u003eSupplement 1: The Dirac Delta Distribution\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 MAINTAINED SYSTEMS \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction\u003c\/p\u003e \u003cp\u003e9.2 Preventive Maintenance\u003c\/p\u003e \u003cp\u003eIdealized Maintenance\u003c\/p\u003e \u003cp\u003eImperfect Maintenance\u003c\/p\u003e \u003cp\u003eRedundant Components\u003c\/p\u003e \u003cp\u003e9.3 Corrective Maintenance\u003c\/p\u003e \u003cp\u003eAvailability\u003c\/p\u003e \u003cp\u003eMaintainability\u003c\/p\u003e \u003cp\u003e9.4 Repair: Revealed Failures\u003c\/p\u003e \u003cp\u003eConstant Repair Rates\u003c\/p\u003e \u003cp\u003eConstant Repair Times\u003c\/p\u003e \u003cp\u003e9.5 Testing and Repair: Unrevealed Failures\u003c\/p\u003e \u003cp\u003eIdealized Periodic Tests\u003c\/p\u003e \u003cp\u003eReal Periodic Tests\u003c\/p\u003e \u003cp\u003e9.6 System Availability\u003c\/p\u003e \u003cp\u003eRevealed Failures\u003c\/p\u003e \u003cp\u003eUnrevealed Failures\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 FAILURE INTERACTIONS \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction\u003c\/p\u003e \u003cp\u003e10.2 Markov Analysis\u003c\/p\u003e \u003cp\u003e Two Independent Components\u003c\/p\u003e \u003cp\u003e Load-Sharing Systems\u003c\/p\u003e \u003cp\u003e10.3 Reliability with Standby Systems\u003c\/p\u003e \u003cp\u003eIdealized System\u003c\/p\u003e \u003cp\u003eFailures in the Standby State\u003c\/p\u003e \u003cp\u003eSwitching Failures\u003c\/p\u003e \u003cp\u003ePrimary System Repair\u003c\/p\u003e \u003cp\u003e10.4 Multicomponent Systems\u003c\/p\u003e \u003cp\u003eMulticomponent Markov Formulations\u003c\/p\u003e \u003cp\u003eCombinations of Subsystems\u003c\/p\u003e \u003cp\u003e10.5 Availability\u003c\/p\u003e \u003cp\u003eStandby Redundancy\u003c\/p\u003e \u003cp\u003eShared Repair Crews\u003c\/p\u003e \u003cp\u003eMarkov Availability-Advantages \u0026amp; Disadvantages\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 SYSTEM SAFETY ANALYSIS \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction\u003c\/p\u003e \u003cp\u003e11.2 Product and Equipment Hazards\u003c\/p\u003e \u003cp\u003e11.3 Human Error\u003c\/p\u003e \u003cp\u003eRoutine Operations\u003c\/p\u003e \u003cp\u003eEmergency Operations\u003c\/p\u003e \u003cp\u003e11.4 Methods of Analysis\u003c\/p\u003e \u003cp\u003eFailure Modes Effects and Criticality Analysis (FMECA)\u003c\/p\u003e \u003cp\u003eEvent Trees\u003c\/p\u003e \u003cp\u003e11.5 Fault Trees\u003c\/p\u003e \u003cp\u003eFault-Tree Construction\u003c\/p\u003e \u003cp\u003eNomenclature\u003c\/p\u003e \u003cp\u003eFault Classification\u003c\/p\u003e \u003cp\u003eFault Tree Examples\u003c\/p\u003e \u003cp\u003eDirect Evaluation of Fault Trees\u003c\/p\u003e \u003cp\u003eQualitative Evaluation\u003c\/p\u003e \u003cp\u003eQuantitative Evaluation\u003c\/p\u003e \u003cp\u003eFault-Tree Evaluation by Cut Sets\u003c\/p\u003e \u003cp\u003eQualitative Analysis\u003c\/p\u003e \u003cp\u003eQuantitative Analysis\u003c\/p\u003e \u003cp\u003e11.6 Reliability\/Safety Risk Analysis\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAPPENDICES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eA USEFUL MATHEMATICAL RELATIONSHIPS \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eB BINOMIAL CONFIDENCE CHARTS \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eC STANDARD NORMAL CDF \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eD NONPARAMETRIC METHODS AND PROBABILITY PLOTTING\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eD1 Introduction\u003c\/p\u003e \u003cp\u003eD2 Nonparametric Methods for Probability Plotting\u003c\/p\u003e \u003cp\u003eD3 Parametric Methods\u003c\/p\u003e \u003cp\u003eD4 Goodness-of-Fit        \u003c\/p\u003e \u003cp\u003eSupplement 1 Further Details of Weibull Probability plotting\u003c\/p\u003e \u003cp\u003eSupplement 2 Median Rank adjustment for SUSPENDED TEST ITEMS\u003c\/p\u003e \u003cp\u003eSupplement 3 Generating a Probability Plot in MINITAB\u003c\/p\u003e \u003cp\u003eANSWERS TO ODD-NUMBERED EXERCISES\u003c\/p\u003e \u003cp\u003eINDEX\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJames E. Breneman\u003c\/b\u003e established and headed the Engineering Technical University at Pratt and Whitney, which provided more than 450,000 hours of instruction to employees during his tenure. Now retired, Breneman has taught many public course offerings for the ASQ Reliability \u0026amp; Risk Division. In 2018 he was awarded the Eugene L. Grant Medal for outstanding leadership in educational programs in quality.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChittaranjan Sahay\u003c\/b\u003e holds the Vernon D. Roosa Distinguished Professor Chair in Manufacturing and Professorship in Mechanical Engineering at the University of Hartford, where he has held various offices including Associate Dean and Director of the Graduate Programs of the College of Engineering, Technology, and Architecture, and Chairman of the Mechanical Engineering Department. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eElmer E. Lewis \u003c\/b\u003eis Professor of Mechanical Engineering at Northwestern University’s McCormick School of Engineering and Applied Science. He has held appointments as Visiting Professor at the University of Stuttgart and as Guest Scientist at the Nuclear Research Center at Karlsruhe, Germany. He has been a frequent consultant to Argonne and Los Alamos National Laboratories as well as a number of industrial firms.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA complete revision of the classic text on reliability engineering, written by an expanded author team with increased industry perspective\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eIntroduction to Reliability Engineering\u003c\/i\u003e provides a thorough and well-balanced overview of the fundamental aspects of reliability engineering and describes the role of probability and statistical analysis in predicting and evaluating reliability in a range of engineering applications. Covering both foundational theory and real-world practice, this classic textbook helps students of any engineering discipline understand key probability concepts, random variables and their use in reliability, Weibull analysis, system safety analysis, reliability and environmental stress testing, redundancy, failure interactions, and more. \u003c\/p\u003e\u003cp\u003eExtensively revised to meet the needs of today’s students, the Third Edition fully reflects current industrial practices and provides a wealth of new examples and problems that now require the use of statistical software for both simulation and analysis of data. A brand-new chapter examines Failure Modes and Effects Analysis (FMEA) and the Reliability Testing chapter has been greatly expanded, while new and expanded sections cover topics such as applied probability, probability plotting with software, the Monte Carlo simulation, and reliability and safety risk. Throughout the text, increased emphasis is placed on the Weibull distribution and its use in reliability engineering. Presenting students with an interdisciplinary perspective on reliability engineering, this textbook: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePresents a clear and accessible introduction to reliability engineering that assumes no prior background knowledge of statistics and probability\u003c\/li\u003e \u003cli\u003eTeaches students how to solve problems involving reliability data analysis using software including Minitab and Excel\u003c\/li\u003e \u003cli\u003eFeatures new and updated examples, exercises, and problems sets drawn from a variety of engineering fields\u003c\/li\u003e \u003cli\u003eIncludes several useful appendices, worked examples, answers to selected exercises, and a companion website\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eIntroduction to Reliability Engineering, Third Edition\u003c\/i\u003e remains the perfect textbook for both advanced undergraduate and graduate students in all areas of engineering and manufacturing technology.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989466005733,"sku":"NP9781119640561","price":123.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119640561.jpg?v=1761784211","url":"https:\/\/k12savings.com\/es\/products\/introduction-to-reliability-engineering-isbn-9781119640561","provider":"K12savings","version":"1.0","type":"link"}