applied reliability engineering risk (20 risultati)

Condizione: Good. 588 pp., hardcover, ex library, else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Hardcover. Condizione: Very Good. 1st Edition. Hardcover, xxxiii+413 pages, NOT ex-library. Gently used, book is clean and bright with unmarked text, free of inscriptions and stamps. Boards show small indentations to edges. Issued without a dust jacket. -- Contents: I Degradation Analysis, Multi- & Continuous-state System Reliability 1 Methods of Solutions of Inhomogeneous Continuous Time Markov Chains for Degradation Process Modeling [Formalism of ICTMC; Numerical Solution Techniques; Examples; Comparisons of the Methods & Guidelines of Utilization] 2 Multistate Degradation & Condition Monitoring for Devices with Multiple Independent Failure Modes [Multistate Degradation & Multiple Independent Failure Modes; Parameter Estimation; Important Reliability Measures of a Condition-Monitored Device; Numerical Example] 3 Time Series Regression with Exponential Errors for Accelerated Testing & Degradation Tracking 4 Inverse Lz-Transform for a Discrete-State Continuous-Time Markov Process & Its Application to Multi-State System Reliability Analysis [Inverse Lz-Transform: Definitions & Computational Procedure; Application of Inverse Lz-Transform to MSS Reliability Analysis; Numerical Example] 5 Lz-Transform Application for Availability Assessment of an Aging Multi-State Water Cooling System for Medical Equipment [Brief Description of Lz-Transform Method; Multi-state Model of the Water Cooling System for the MRI Equipment; Availability Calculation] 6 Combined Clustering & Lz-Transform Technique to Reduce the Computational Complexity of a Multi-State System Reliability Evaluation [Lz-Transform for Dynamic Reliability Evaluation for MSS; Clustering Composition Operator in the Lz-Transform; Computational Procedures; Numerical Example] 7 Sliding Window Systems with Gaps 8 Development of Reliability Measures Motivated by Fuzzy Sets for Systems with Multi- or Infinite-States [Models for Components & Systems Using Fuzzy Sets; Fuzzy Reliability for Systems with Continuous or Infinite States; Dynamic & System Fuzzy Reliability; Examples & Applications] 9 Imperatives for Performability Design in the 21t Century [Strategies for Sustainable Development; Reappraisal of the Performance of Products & Systems; Dependability & Environmental Risk are Interdependent; Performability: Appropriate Measure of Performance; Towards Dependable & Sustainable Designs] / II Networks & Large-Scale Systems 10 Network Reliability Calculations Based on Structural Invariants [1st Invariant: D-Spectrum, Signature; 2nd: Importance Spectrum. Birnbaum Importance Measure BIM; Example: Reliability of a Road Network; 3rd: Border States; Monte Carlo to Approximate the Invariants] 11 Performance & Availability Evaluation of IMS-Based Core Networks 12 Reliability & Probability of First Occurred Failure for Discrete-Time Semi-Markov Systems 13 Single-Source Epidemic Process in a System of Two Interconnected Networks / III Maintenance Models 14 Comparisons of Periodic & Random Replacement Policies 15 Random Evolution of Degradation & Occurrences of Words in Random Sequences of Letters 16 Occupancy Times for Markov & Semi-Markov Models in Systems Reliability 17 Practice of Imperfect Maintenance Model Selection for Diesel Engines 18 Reliability of Warm Standby Systems with Imperfect Fault Coverage / IV Statistical Inference in Reliability 19 Validity of the Weibull-Gnedenko Model 20 Statistical Inference for Heavy-Tailed Distributions in Reliability Systems 21 Robust Inference based on Divergences in Reliability Systems 22 COM-Poisson Cure Rate Models & Associated Likelihood-based Inference with Exponential & Weibull Lifetimes 23 Exponential Expansions for Perturbed Discrete Time Renewal Equations 24 On Generalized Extreme Shock Models under Renewal Shock Processes / V Systemability, Physics-of-failure & Reliability Demonstration 25 Systemability Theory & its Applications 26 Physics-of-Failure based Reliability Engineering 27 Accelerated Testing: Effect of Variance in Field Environmental Conditions on the Demonstrated Reliability.

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Condizione: New. pp. 448.

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Condizione: New. pp. 448.

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Condizione: New. pp. 448.

Hardcover. Condizione: Brand New. 1st edition. 448 pages. 9.75x6.75x1.00 inches. In Stock.

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Hardcover. Condizione: new. Hardcover. This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fieldsdetailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstrationmany examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Hardcover. Condizione: new. Hardcover. This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fieldsdetailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstrationmany examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Gebunden. Condizione: New. This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theor.

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Hardcover. Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

Hardcover. Condizione: new. Hardcover. This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.With comprehensive coverage of the theoretical and practical issues of both classic and modern topics, it also provides a unique commemoration to the centennial of the birth of Boris Gnedenko, one of the most prominent reliability scientists of the twentieth century. Key features include: expert treatment of probabilistic models and statistical inference from leading scientists, researchers and practitioners in their respective reliability fieldsdetailed coverage of multi-state system reliability, maintenance models, statistical inference in reliability, systemability, physics of failures and reliability demonstrationmany examples and engineering case studies to illustrate the theoretical results and their practical applications in industry Applied Reliability Engineering and Risk Analysis is one of the first works to treat the important areas of degradation analysis, multi-state system reliability, networks and large-scale systems in one comprehensive volume. It is an essential reference for engineers and scientists involved in reliability analysis, applied probability and statistics, reliability engineering and maintenance, logistics, and quality control. It is also a useful resource for graduate students specialising in reliability analysis and applied probability and statistics.Dedicated to the Centennial of the birth of Boris Gnedenko, renowned Russian mathematician and reliability theorist This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.