- Basic of probability theory and mathematical statistics. Random events and variables, definition of probability, probability and distribution functions, characteristics of random variables, basic types of distribution.
- Procedures and methods for providing quality care. The definition of quality, current trends, quality management, standards, control methods and improving quality, metrology, testing, conformity assessment, certification, accreditation, assurance of reliability, reliability management
- Fysical basis and failure definitions object, types failure, failure standard, buildings renewed and non-renewal, quantification of the reliability, indicators of reliability, estimates of the reliability characteristics, moments methods, maximum authentic method, environmental factors and operating conditions on component failure rate
- Indicators of reliability expendable objects
- Indicators of reliability renovated buildings
- Calculation of the reliability of systems with general structure,
- The theory of Markov processes, Markov models, Markov analysis
- Methods of increasing reliability, Backup Static, dynamic backup
- Simulation (statistical) reliability models, Model using the direct Monte Carlo, method principle
- Analysis of reliability of complex systems, inductive and deductive analysis approach
- Other methods of reliability analysis, FTA method, ETA method
- operating reliability
- Basics technical diagnostics, failure model, diagnostic tests
- Reliability microprocessor systems, Safety Codes
Exercise
- Solution examples of probability theory and mathematical statistics
- Examples of calculating the failure rate of components
- Compilation a matrix of intensities of transitions, and construct a graph of the intensity of transitions, examples of Markov models.
- Compilation of diagnostic tests. Verification of knowledge.
- Statistical analysis with computer-aided
- RBD analysis with computer-aided
- FTA analysis with computer-aided
- Markov analysis with computer-aided