The present dissertation work has as the main purpose the reliability and maintenance analysis in unit production of Ammonia in Industry of phosphoric fertilizers production residing in New Karbali- Kavala. The dissertation is constituted by eight chapters. In the first chapter that constitutes the introduction are reported the purpose of the dissertation, the source of data, the structure and the methodological approach that will be followed. In the second chapter is reported concisely the theory of reliability and the mathematical approach for its analysis. Similarly in the third chapter the significance and the theory of maintenance and the basic quantitative measures for the approach are presented. In the fourth chapter are presented concisely previous empirical researches and studies that have been written in the reliability and maintenance theory and applications for various cases and is various branches. In the fifth chapter is presented a description for the structure and the operation of Ammonia unit production and its sub systems, by which it is constituted. In the sixth chapter are presented the numerical data, which are used for the application of the statistical analysis of reliability. The parametric Weibull distribution is selected, the finding of success and failure probability in each subsystem separately and in whole unit as well are reported. Also in the same chapter a Pareto analysis is been made for the of failure type frequency in order to be explicit which type of failure lead to dysfunction and participate at a higher percentage in the production loss. Then a bootstrapping simulation is applied in order to confirm the results that have been found initially. Next, the methodology of neural networks is proposed, which present a great success and augmentative tendency in the application in many sciences and specifically three models are presents and applied. Finally, we apply a neuro-fuzzy model to estimate the reliability of Ammonia production unit. In the seventh chapter are presented the numerical data on the for maintenance analysis. In the eighth chapter Cox proportional hazard models are analyzed and estimated for the preventive maintenance. In the ninth chapter predictive maintenance is analyzed and specifically multinomial Logit models are estimated to predict the probabilities for failure kinds. In the last chapter the conclusions are presented.
Inhaltsverzeichnis (Table of Contents)
- FIRST CHAPTER. INTRODUCTION.
- Introduction in reliability and maintenance definition
- Purpose of the dissertation....
- Methodology approach.
- Dissertation structure...
- SECOND CHAPTER. RELIABILITY THEORY.
- 2.1 Failure definition..
- 2.2 Reliability definition....
- 2.3 Relative frequency failure
- 2.4 Failure hazard rate.
- 2.5 Maintainability and basic characteristics of reliability.
- 2.6 Distribution models and reliability functions
- 2.7 Reliability analysis of systems with simple structure..
- A. Series structure
- B. Parallel systems..
- C. Parallel systems with backups
- D. Systems in readiness or inactive systems with parallel structure
- E. Systems with "dead times"
- 2.8 Reliability of systems with stable failure rates.
- THIRD CHAPTER. MAINTENANCE THEORY
- 3.1 Maintenance definition.
- 3.2 Curves of optimal reliability.
- 3.3 Immobility cost
- 3.4 Definition and quantitative measures of maintainability.
- 3.5 Operational maintenance systems
- FOURTH CHAPTER. LITERATURE REVIEW.
- FIFTH CHAPTER. DESCRIPTION OF THE AMMONIA PRODUCTION UNIT ...
- SIXTH CHAPTER. RELIABILITY ANALYSIS
- 6.1 Numerical data for the production unit of ammonia
- 6.2 Descriptive statistics for the ammonia production departments.……..\n
- 6.3 Weibull distribution statistical analysis for the failures in ammonia production departments
- 6.4 Reliability characteristics of the ammonia production unit departments
- 6.5 Reliability of ammonia production unit.
- 6.6 Reliability of ammonia production unit with bootstrap simulation....
- 6.7 Regressions estimations for the seasonality of operation time without failure or maintenance..
- 6.7.1 Estimations with ordinary least squares, ARCH models and bootstrap simulation.
- 6.7.2 Estimations with neural networks models ..
- 6.8 Maintainability of ammonia production unit....
- 6.8 Reliability analysis using fuzzy logic and neuro-fuzzy systems
- SEVENTH CHAPTER. PREVENTIVE MAINTENANCE ANALYSIS.
- 7.1 Pareto analysis.
- 7.2 Numerical data
- 7.3Maintenance coefficient.
- 7.4 Maintenance coefficient computation for preventive maintenance choice
- 7.5 Mean time to repair (MTTR) of equipment..
- 7.6 Machinery availability.
- 7.7 Mean time delay of equipment....
- 7.8 Required maintenance hours
- EIGHTH CHAPTER. MODELS FOR PREVENTIVE MAINTENANCE.
- 8.1 Proportional hazards regression model
- 8.2 Cox proportional hazards regression model.
- 8.3 Estimations of Cox proportional hazards regression model.
- NINTH CHAPTER. PREDICTIVE MAINTENANCE.
- 9.1 Methodology of multinomial LOGIT models.
- 9.2 Estimation of multinomial LOGIT model.
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
This dissertation aims to analyze the reliability and maintenance aspects of an ammonia production unit within a phosphoric fertilizer factory. The analysis focuses on the reasons behind production losses and the impact of failures on the unit's overall efficiency. The dissertation employs various statistical and modeling techniques to evaluate the reliability of different subsystems and the entire unit.
- Reliability analysis of the ammonia production unit and its subsystems.
- Application of statistical models, including Weibull distribution and bootstrap simulation.
- Evaluation of the maintenance processes and strategies employed.
- Development and application of predictive maintenance models.
- Analysis of the influence of factors like seasonality and operational time on the reliability of the unit.
Zusammenfassung der Kapitel (Chapter Summaries)
- First Chapter: Introduction This chapter introduces the dissertation's purpose, the source of data used, the methodology, and the overall structure of the work.
- Second Chapter: Reliability Theory This chapter provides a comprehensive overview of reliability theory, including definitions, concepts, and mathematical approaches for analyzing reliability.
- Third Chapter: Maintenance Theory This chapter discusses maintenance theory, outlining definitions, optimal reliability curves, immobility costs, and quantitative measures of maintainability.
- Fourth Chapter: Literature Review This chapter presents a concise overview of previous empirical researches and studies in the field of reliability and maintenance.
- Fifth Chapter: Description of the Ammonia Production Unit This chapter provides a detailed description of the ammonia production unit and its subsystems.
- Sixth Chapter: Reliability Analysis This chapter presents numerical data and the application of statistical analysis to evaluate the reliability of the ammonia production unit and its subsystems. It includes measures of mean and variability, histograms, and the application of the Weibull distribution model. The chapter also analyzes the frequency of different failure types and implements a bootstrap simulation.
- Seventh Chapter: Preventive Maintenance Analysis This chapter focuses on the analysis of preventive maintenance, including the calculation of the mean time to repair, availability, and maintenance coefficients.
- Eighth Chapter: Models for Preventive Maintenance This chapter discusses models for preventive maintenance, specifically analyzing proportional hazard regression models, particularly the Cox proportional hazards regression model.
- Ninth Chapter: Predictive Maintenance This chapter explores the concept of predictive maintenance and the use of multinomial logit models to predict failure probabilities.
Schlüsselwörter (Keywords)
The primary keywords and focus topics of this dissertation include: reliability, maintenance, ammonia production, phosphoric fertilizer industry, Weibull distribution, bootstrap simulation, predictive maintenance, multinomial logit models, proportional hazard regression models, seasonality, operational time, failure analysis.
- Quote paper
- Eleftherios Giovanis (Author), 2009, Reliability-Maintenance: Techniques of Application in Ammonia Production Unit of Chemical Industry, Munich, GRIN Verlag, https://www.grin.com/document/146641
