Integrated Reliability Condition Monitoring and Maintenance of Equipment

Consider a Viable and Cost-Effective Platform for the Industries of the Future (IOF) Benefit from improved safety, performance, and product deliveries to your customers. Achieve a higher rate of equipment availability, performance, product quality, and reliability. Integrated Reliability: Condition Monitoring and Maintenance of Equipment incorporates reliable engineering and mathematical modeling to help you move toward sustainable development in reliability condition monitoring and maintenance. This text introduces a cost-effective integrated reliability growth monitor, integrated reliability degradation monitor, technological inheritance coefficient sensors, and a maintenance tool that supplies real-time information for predicting and preventing potential failures of manufacturing processes and equipment. The author highlights five key elements that are essential to any improvement program: improving overall equipment and part effectiveness, quality, and reliability; improving process performance with maintenance efficiency and effectiveness; training all employees involved; including operators in the daily maintenance and upkeep of the equipment; and implementing early equipment management and maintenance prevention design. He offers a sustainable solution with integrated reliability condition monitoring and maintenance of manufacturing processes, parts, and equipment in the IOFs with a technological inheritance model-based program. This book contains 15 chapters that include details on: Improving the material–part–equipment system life cycle, reliability conditions, and manufacturing process productivity for wear, corrosion, and temperature resistance applications Maximizing the component and system reliability growth of parts and equipment Minimizing reliability degradation within the framework of a condition-based maintenance Analyzing the reliability degradation, wear, and other competing failure modes of nickel-based hard alloy–coated part mating surface with a technological inheritance model-based program Introducing a cost-effective integrated reliability monitor and maintenance strategy with a technological inheritance model–based software program Integrated Reliability: Condition Monitoring and Maintenance of Equipment addresses potential failures from an asset manager, maintenance user, and operator’s standpoint, and highlights the solutions to common failures and reliability problems for equipment in the IOFs.

Overview for Condition Monitoring and Maintenance of Equipment in the Industries of the FutureIncreasing the Existing Maintenance and Operations of Industrial Equipment Productivity in PlantsAnalysis of Maintenance and Operations of Industrial Equipment Productivity in PlantsCondition Monitoring and Maintenance of Industrial Equipment in the Industries of the FutureExisting Maintenance Strategies of Industrial Equipments in the Industries of the FutureLimitations of Existing Condition Monitoring and Maintenance Strategies of Industrial Equipment in the Industries of the FutureMaximum Achievable Reliability Condition and Maintenance Requirements for Part-Process-Equipment System with the Technological Inheritance TechniqueEquipment Reliability Degradation and Failure Variation Control with the Technological Inheritance TechniqueEquipment Reliability Growth and Optimum Condition Variation Control with the Technological Inheritance TechniqueConclusionsReferencesIntegrated Reliability of Material-Part-Equipment System Life Cycle with the Technological Inheritance TechniqueIntroduction to Integrated Reliability Condition Monitoring and Maintenance Process of Material-Part-Equipment System Life CycleMeasuring the Impact of Equipment Integrated Reliability Condition Monitoring and Maintenance on a BusinessEquipment-Part Life Cycle and Phase-Out ConditionsEquipment Failures and Part Replacement SystemMeasuring the System Reliability Degradation and Rate of Failures with the Technological Inheritance TechniqueConcepts and Feasibility of Part Material: Manufacturing Method of Part-Equipment System Reliability Condition Control with the Technological Inheritance CoefficientHard Alloy-Coated Part Surface Quality and Process Performance Variations with the Technological Inheritance ModelMaterial, Part, and Process Selection for Wear-, Corrosion-, and Temperature-Resistant Applications in the Industries of the FutureMeasurement PointsOptimum Selection of Parts, Manufacturing Processes, and Industrial Equipment System for Maximum Achievable Reliability with the Technological Inheritance TechniqueIntegrated Reliability Condition Monitoring and Maintenance of Material and Manufacturing Processes and Equipment with the Technological Inheritance TechniqueDeveloping Quality, Reliability Growth, Degradation Chain, and Maintenance Cost Program with Technological Inheritance CoefficientsConclusionReferencesReliability Growth and Degradation of System Condition Monitoring with the Technological Inheritance TechniqueReliability DefinitionsIntegrated Reliability Theory for Manufacturing Process, Part, and Equipment System Condition Monitoring with the Technological Inheritance TechniqueComponent and System Reliability Growth and Degradation Assessment with the Technological Inheritance TechniqueMaximum Achievable Reliability Requirements of Hard Alloy-Coated Part in the Manufacturing Process and Equipment for Wear- and Other Competing Failure-Resistant ApplicationsIntegrated Reliability Condition Monitoring of the Manufacturing Process and Equipment SystemIntegrated Reliability Condition Monitoring and Maintenance of Manufacturing Processes and Equipment Mechanism with the Technological Inheritance ModelQuantitative and Qualitative Assessments of Integrated Reliability Coefficient TestIntegrated Reliability Condition Monitoring and Maintenance with Technological Inheritance Coefficient Assessment for Manufacturing Processes and Industrial EquipmentReliability Condition Growth Prediction Using Multivariate Quality with the Multivariate Regression ModelSetting Integrated Reliability Requirements with Multivariate Regression and Technological Inheritance ModelsOptimization of Reliability Condition Monitoring and the Maintenance of Processes, Parts, and Equipments with the Technological Inheritance TechniqueDeveloping Reliability Growth and Degradation Improvement Tests for Optimum Component Conditions and the Failures of Equipment with the Technological Inheritance TechniqueConclusionsReferencesRole of Technological Inheritance Technique for Condition Monitoring and Maintenance of Industrial EquipmentIntegrated Reliability Condition Monitoring and Maintenance Assessment with the Technological Inheritance TechniqueIntegrated Reliability Condition Monitoring and Maintenance Route with the Mathematical Technological Inheritance ModelDetermination of Component Quality and Failure Mode Condition Characteristics with the Technological Inheritance ModelMultiple Mathematical Modeling for Integrated Reliability Condition Monitoring and Maintenance of Parts, Manufacturing Processes, and Industrial Equipments with the Technological Inheritance TechniqueDetermination of Component Reliability Degradation and Maintenance with the Technological Inheritance ModelDetermination of Component Reliability Growth and Maintenance with the Technological Inheritance TechniqueBenefits of the Role of the Technological Inheritance Technique in Integrated Reliability Condition Monitoring and Maintenance of Manufacturing Processes, Parts, and Industrial EquipmentConclusionReferencesMaximum Achievable Reliability Design for Critical Parts of Equipment with Technological Inheritance ModelRobust Design of Hard Alloy-Coated Part Surface for Wear-, Corrosion-, and Temperature-Resistant ApplicationsDesign of Experiments for Maximum Achievable Lifetime Reliability of Hard Alloy-Coated Critical Part Surface ConditionsPlanning the Design of Experiment for Maximum Achievable Quality-Reliability Chain of Critical Parts, Manufacturing Processes, and Industrial Equipments with the Multivariate Regression ModelStatistical Experimental Planning of a Multifactorial Design for Optimum Quality and Reliability of Parts, Processes, and Equipment ConditionsExperimental Plan of the Second-Order Design for Optimum Reliability of Part, Process, and Equipment ConditionsRotatable Experimental Plan Design for Optimum Reliability of Part, Process, and Equipment ConditionsMultivariate Regression Models for Hard Alloy Workpiece Surface Quality Condition for Wear and Other Competing Failure Resistance Applications by Rotary Cutting with Plasma FlameMultivariate Regression Models of a Hard Alloy-Coated Part Surface Condition for Wear and Other Competing Failure Resistance ApplicationMultivariate Regression Model Analysis of a Hard Alloy-Coated Part Surface Condition for Wear and Other Competing Failure Resistance ApplicationDetermination of the Optimum Rotary Cutting with Plasma Flame Machining and Workpiece Surface Quality Conditions for Reliability RequirementsReliability Requirements and Measurement Characteristics for Integrated Reliability Monitoring and Maintenance of Parts and Equipments with a Technological Inheritance Model-Based ProgramReliability Testing and Measurement of Reliability Growth and Degradation of Part, Process and Equipment System with a Technological Inheritance Model-Based ProgramComponent and Process Performance Condition Profile with the Technological Inheritance Model-Based DesignIntegrated Reliability Condition Monitoring and Maintenance Mechanisms with Technological Inheritance Coefficients for Wear and Other Competing Failure Resistance ApplicationsDesign Procedures for Integrated Reliability Monitoring and Maintenance of Machine Parts, Manufacturing Processes, and Industrial Equipment with the Technological Inheritance Model-Based TechniqueConclusionsReferencesSelection of Coating Materials, Parts, and Equipment System with the Technological Inheritance TechniqueCharacteristics of Industries of the FutureExisting Materials Models and DatabasesSelection of Nickel-Based Alloys for Corrosion-Resistant ApplicationsSelection of Self-Fluxing Alloy Powders for Wear and Temperature Resistance ApplicationsOptimum Selection of Materials for Failure-Resistant Coatings with Multivariate Regression and a Technological Inheritance Model-Based ProgramOptimum Component/System Reliability SelectionReliability Testing for

John Osarenren, received his PHd in agricultural engineering in 1989 from the Byelorussian University of Agricultural Mechanization, in Minsk, USSR, and his M.SC. (Agricultural Engineering) in 1986. He is currently a member of the Integrated Agricultural and Industrial Consultancy, New York, USA. He is a member of the American society Of Agricultural Engineers, Michigan, USA, and the Society of Reliability Maintenance Professionals, Georgia, USA.