LEADER 05602nam 2200673 a 450 001 9910142396003321 005 20170810195903.0 010 $a1-282-78326-2 010 $a9786612783265 010 $a0-470-93524-3 010 $a0-470-93526-X 010 $a1-59124-625-3 035 $a(CKB)1000000000327069 035 $a(EBL)589021 035 $a(OCoLC)53228438 035 $a(SSID)ssj0000072108 035 $a(PQKBManifestationID)11110022 035 $a(PQKBTitleCode)TC0000072108 035 $a(PQKBWorkID)10091202 035 $a(PQKB)10699526 035 $a(MiAaPQ)EBC589021 035 $a(EXLCZ)991000000000327069 100 $a19980803d1998 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGuidelines for improving plant reliability through data collection and analysis$b[electronic resource] 210 $aNew York $cAmerican Institute of Chemical Engineers$dc1998 215 $a1 online resource (210 p.) 225 1 $aCCPS guidelines series 300 $aDescription based upon print version of record. 311 $a0-8169-0751-X 320 $aIncludes bibliographical references and index. 327 $aGuideline for Improving Plant Reliability through Data Collection and Analysis; Contents; Preface; Acknowledgments; 1 Introduction; 1.1. Background; 1.2. Taxonomy; 1.3. Data Aggregation/Sharing; 2 Definitions; 2.1. Introduction; 2.2. Discussion of Key Reliability Terms; 2.3. Glossary of Terms; 3 Methods of Analysis; 3.1. Introduction; 3.2. Basic Concepts of Data Analysis; 3.2.1. Failure Data; 3.2.2. Need for Correct Failure Modes; 3.2.3. Types of Systems-Repairable or Nonrepairable; 3.2.4. Reliability versus Availability; 3.2.5. Types of Data-Censoring; 3.2.6. Definitions 327 $a3.2.7. Dealing with Censored Data3.2.8. Common Cause Failures; 3.2.9. Predictive versus Descriptive Methods; 3.3. Data Manipulation Examples; 3.3.1. Methods of Analysis; 3.4. Cyclical Service; 3.5. Batch Service; 3.6. Standby Service; 3.7. Failures Following a Repair; 3.8. Selecting an Operating Mode; 3.9. Analysis Based on Statistical Inferences; 3.9.1. Modeling Reliability Parameters for the Population; 3.9.2. The Weibull Distribution; 3.9.3. Graphical Method for Estimating the Weibull Parameters; 3.9.4. The Exponential Distribution; 3.9.5. Confidence Limits for Reliability Parameters 327 $aReferences4 Example Applications; 4.1. Introduction; 4.2. Conducting a Reliability Analysis-Pump Example; 4.3. Right-Censoring; 4.4. MTTF by Numerical Integration; 4.5. Reliability Calculations for Repaired Items; 4.6. Calculation of MTTR by Numerical Integration; 4.7. Fitting a Weibull Distribution; 4.8. Combinations of Failure Distributions; 4.9. System Performance-Compressor Example; 4.10. Life-Cycle Costs-Compressor Example (continued); 4.11. Maintenance Budgeting-Compressor Example (continued); 4.12. Throughput Targets-Compressor Example (continued); 4.13. Summary; References 327 $a5 Data Structure5.1. Data Structure Overview; 5.2. General Taxonomy; 5.2.1. Taxonomy Levels 14 (Industry, Site, Plant, Process Units); 5.2.2. Taxonomy Levels 5-7 (System, Component, Part); 5.2.3. Treatment of Subordinate Systems in the CCPS Database; 5.3. Database Structure; 5.3.1. Inventory Tables; 5.3.2. Event Tables; 5.3.3. Failure Logic Data; 6 Quality Assurance of Data; 6.1. Introduction; 6.2. Basic Principles of Quality as Applied to Equipment Reliability Data; 6.3. Quality Management; 6.4. Quality Principles; 6.5. Verification of Data Quality 327 $a6.5.1. Quality Plan for Database Administrator (DA)6.5.2. Quality Plan for Data Subscribers; 6.5.3. Certification of Data Subscribers; 6.5.4. Internal Verification of Data Quality; 6.5.5. Verification of Data Prior to Acceptance; 6.5.6. Recertification of Data Contributors; 6.5.7. Appeal Process; 6.5.8. Audits of Work Process; APPENDIX I Guidelines for Data Collection and Submission; I.1. Introduction; I.1.1. Data Types; I.1.2. Subscriber Data; I.1.3. Inventory Data; I.1.4. Event Data; I.1.5. Data Analysis; I.1.6. Database Limitations; I.1.7. Goals of the Equipment Reliability Process 327 $aI.1.8. Certification of a Subscriber 330 $aWritten by reliability data experts, the book gives plant managers and supervisors the guidance they need to collect, and use with confidence, process equipment reliability data for risk-based decisions. Focusing on the process industries, it provides the protocol and techniques to collect and organize high quality plant performance, maintenance, and repair data from your own operations, and includes methods and examples on how the data can be converted into useful information for engineering, maintenance, safety, and loss prevention. This data can be used for: facility reliability/availabilit 410 0$aCCPS guidelines series. 606 $aChemical process control$xStatistical methods 606 $aReliability (Engineering)$xStatistical methods 608 $aElectronic books. 615 0$aChemical process control$xStatistical methods. 615 0$aReliability (Engineering)$xStatistical methods. 676 $a620.00452 676 $a660.2815 676 $a660/.2815 712 02$aAmerican Institute of Chemical Engineers.$bCenter for Chemical Process Safety. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910142396003321 996 $aGuidelines for improving plant reliability through data collection and analysis$91417231 997 $aUNINA