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Guidelines for improving plant reliability through data collection and analysis [[electronic resource]]
| Guidelines for improving plant reliability through data collection and analysis [[electronic resource]] |
| Pubbl/distr/stampa | New York, : American Institute of Chemical Engineers, c1998 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina |
620.00452
660.2815 660/.2815 |
| Collana | CCPS guidelines series |
| Soggetto topico |
Chemical process control - Statistical methods
Reliability (Engineering) - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-78326-2
9786612783265 0-470-93524-3 0-470-93526-X 1-59124-625-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Guideline 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
3.2.7. 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 References4 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 5 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 6.5.1. 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 I.1.8. Certification of a Subscriber |
| Record Nr. | UNINA-9910142396003321 |
| New York, : American Institute of Chemical Engineers, c1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guidelines for improving plant reliability through data collection and analysis [[electronic resource]]
| Guidelines for improving plant reliability through data collection and analysis [[electronic resource]] |
| Pubbl/distr/stampa | New York, : American Institute of Chemical Engineers, c1998 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina |
620.00452
660.2815 660/.2815 |
| Collana | CCPS guidelines series |
| Soggetto topico |
Chemical process control - Statistical methods
Reliability (Engineering) - Statistical methods |
| ISBN |
1-282-78326-2
9786612783265 0-470-93524-3 0-470-93526-X 1-59124-625-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Guideline 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
3.2.7. 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 References4 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 5 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 6.5.1. 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 I.1.8. Certification of a Subscriber |
| Record Nr. | UNISA-996218381503316 |
| New York, : American Institute of Chemical Engineers, c1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Guidelines for improving plant reliability through data collection and analysis [[electronic resource]]
| Guidelines for improving plant reliability through data collection and analysis [[electronic resource]] |
| Pubbl/distr/stampa | New York, : American Institute of Chemical Engineers, c1998 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina |
620.00452
660.2815 660/.2815 |
| Collana | CCPS guidelines series |
| Soggetto topico |
Chemical process control - Statistical methods
Reliability (Engineering) - Statistical methods |
| ISBN |
1-282-78326-2
9786612783265 0-470-93524-3 0-470-93526-X 1-59124-625-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Guideline 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
3.2.7. 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 References4 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 5 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 6.5.1. 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 I.1.8. Certification of a Subscriber |
| Record Nr. | UNINA-9910830131103321 |
| New York, : American Institute of Chemical Engineers, c1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Guidelines for improving plant reliability through data collection and analysis
| Guidelines for improving plant reliability through data collection and analysis |
| Pubbl/distr/stampa | New York, : American Institute of Chemical Engineers, c1998 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina | 660/.2815 |
| Collana | CCPS guidelines series |
| Soggetto topico |
Chemical process control - Statistical methods
Reliability (Engineering) - Statistical methods |
| ISBN |
9786612783265
9781282783263 1282783262 9780470935248 0470935243 9780470935262 047093526X 9781591246251 1591246253 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Guideline 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
3.2.7. 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 References4 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 5 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 6.5.1. 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 I.1.8. Certification of a Subscriber |
| Altri titoli varianti | Improving plant reliability through data collection and analysis |
| Record Nr. | UNINA-9910877272703321 |
| New York, : American Institute of Chemical Engineers, c1998 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Process control system fault diagnosis : a Bayesian approach / / Ruben Gonzalez, Fei Qi, Biao Huang
| Process control system fault diagnosis : a Bayesian approach / / Ruben Gonzalez, Fei Qi, Biao Huang |
| Autore | Gonzalez Ruben |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (360 p.) |
| Disciplina | 660/.2815 |
| Collana | Wiley Series in Dynamics and Control of Electromechanical Systems |
| Soggetto topico |
Chemical process control - Statistical methods
Bayesian statistical decision theory Fault location (Engineering) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-77059-5
1-118-77058-7 1-118-77060-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Fundamentals -- Part II. Applications. |
| Record Nr. | UNINA-9910134876703321 |
Gonzalez Ruben
|
||
| Chichester, West Sussex, United Kingdom : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Process control system fault diagnosis : a Bayesian approach / / Ruben Gonzalez, Fei Qi, Biao Huang
| Process control system fault diagnosis : a Bayesian approach / / Ruben Gonzalez, Fei Qi, Biao Huang |
| Autore | Gonzalez Ruben |
| Pubbl/distr/stampa | Chichester, West Sussex, United Kingdom : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (360 p.) |
| Disciplina | 660/.2815 |
| Collana | Wiley Series in Dynamics and Control of Electromechanical Systems |
| Soggetto topico |
Chemical process control - Statistical methods
Bayesian statistical decision theory Fault location (Engineering) |
| ISBN |
1-118-77059-5
1-118-77058-7 1-118-77060-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Fundamentals -- Part II. Applications. |
| Record Nr. | UNINA-9910831172403321 |
|
Gonzalez Ruben
|
||
| Chichester, West Sussex, United Kingdom : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
