Engineering System Reliability
Description: The discipline "Reliability of technical systems" refers to the major disciplines of the component of choice. The subject of the discipline is modern methods for calculating the reliability of automated control systems. The following sections are considered - the basic concepts and definitions of the theory of reliability of technical systems; quantitative characteristics of reliability, mathematical models in the theory of reliability of technical systems, laws of distribution of discrete random variables.
Amount of credits: 5
Course Workload:
| Types of classes | hours |
|---|---|
| Lectures | 15 |
| Practical works | 30 |
| Laboratory works | |
| SAWTG (Student Autonomous Work under Teacher Guidance) | 30 |
| SAW (Student autonomous work) | 75 |
| Form of final control | Exam |
| Final assessment method | writing exam |
Component: Component by selection
Cycle: Profiling disciplines
Goal
- to form in students a system of scientific knowledge and general professional skills necessary for analysis, evaluation and ensuring the reliability and performance of complex technical systems that are objects of engineering and management activities of the future specialist.
Objective
- mastering the system approach in analyzing the operation of complex systems: mastering the relationship between the concepts of quality, efficiency and reliability;
- study of methods for evaluating the operability and reliability of products and complex technical systems;
- understanding of reliability and operability management methods during operation;
- acquisition of skills of analysis and calculation of reliability indicators of technical systems;
- application of methods of synthesis of systems with a given reliability in the design of automated control systems.
Learning outcome: knowledge and understanding
- Knowledge and understanding of terms and definitions of reliability theory, general patterns of failures and recovery of technical systems, as well as methods to improve the reliability of hardware and software at the design and operation stages
Learning outcome: applying knowledge and understanding
- Application of knowledge to analyze the reliability of elements and systems and apply methods of synthesis of systems with a given reliability
Learning outcome: formation of judgments
- Conduct a preliminary feasibility study of design solutions in terms of reliability, perform organizational and planning calculations for the creation or reorganization of production sites, plan the work of personnel, apply progressive methods of operation.
Learning outcome: communicative abilities
- The ability to participate in work on innovative projects using basic research methods based on the systematic study of scientific and technical information, domestic and foreign experience.
Learning outcome: learning skills or learning abilities
- Apply modern methods to develop reliable and environmentally friendly technical systems that ensure the safety of human life and their protection from the possible consequences of accidents, catastrophes and natural disasters.
Teaching methods
- interactive lecture (application of the following active forms of learning: guided discussion or conversation; moderation; demonstration of slides or educational films; brainstorming; motivational speech);
- construction of scenarios for the development of various situations based on the specified conditions;
- information and communication (for example, classes in a computer classroom using professional application software packages);
- search and research (independent research activity of students in the learning process);
- solving educational tasks.
Assessment of the student's knowledge
Teacher oversees various tasks related to ongoing assessment and determines students' current performance twice during each academic period. Ratings 1 and 2 are formulated based on the outcomes of this ongoing assessment. The student's learning achievements are assessed using a 100-point scale, and the final grades P1 and P2 are calculated as the average of their ongoing performance evaluations. The teacher evaluates the student's work throughout the academic period in alignment with the assignment submission schedule for the discipline. The assessment system may incorporate a mix of written and oral, group and individual formats.
| Period | Type of task | Total |
|---|---|---|
| 1 rating | Boundary control 1 | 0-100 |
| Practical task 1 | ||
| Practical task 2 | ||
| Practical task 3 | ||
| Practical task 4 | ||
| Calculation and graphic work 1 | ||
| Calculation and graphic work 2 | ||
| 2 rating | Boundary control 2 | 0-100 |
| Practical task 5 | ||
| Practical task 6 | ||
| Practical task 7 | ||
| Practical task 8 | ||
| Calculation and graphic work 3 | ||
| Calculation and graphic work 4 | ||
| Total control | Exam | 0-100 |
The evaluating policy of learning outcomes by work type
| Type of task | 90-100 | 70-89 | 50-69 | 0-49 |
|---|---|---|---|---|
| Excellent | Good | Satisfactory | Unsatisfactory |
Evaluation form
The student's final grade in the course is calculated on a 100 point grading scale, it includes:
- 40% of the examination result;
- 60% of current control result.
The final grade is calculated by the formula:
| FG = 0,6 | MT1+MT2 | +0,4E |
| 2 |
Where Midterm 1, Midterm 2are digital equivalents of the grades of Midterm 1 and 2;
E is a digital equivalent of the exam grade.
Final alphabetical grade and its equivalent in points:
The letter grading system for students' academic achievements, corresponding to the numerical equivalent on a four-point scale:
| Alphabetical grade | Numerical value | Points (%) | Traditional grade |
|---|---|---|---|
| A | 4.0 | 95-100 | Excellent |
| A- | 3.67 | 90-94 | |
| B+ | 3.33 | 85-89 | Good |
| B | 3.0 | 80-84 | |
| B- | 2.67 | 75-79 | |
| C+ | 2.33 | 70-74 | |
| C | 2.0 | 65-69 | Satisfactory |
| C- | 1.67 | 60-64 | |
| D+ | 1.33 | 55-59 | |
| D | 1.0 | 50-54 | |
| FX | 0.5 | 25-49 | Unsatisfactory |
| F | 0 | 0-24 |
Topics of lectures
- Introduction
- Qualitative criteria of reliability of devices and control systems
- Prerequisites for choosing a vehicle reliability model
- Quantitative characteristics of reliability of non-recoverable systems in terms of probability theory
- A temporary model of failures of recoverable systems
- Random variable distribution laws used in reliability theory: exponential, Weibull, Rayleigh, truncated normal
- Identification of the failure time distribution law
- A logical-probabilistic method for calculating the reliability of systems
- The influence of destabilizing external and internal factors on the reliability of devices: vibration, shock, temperature, pressure, humidity and electrical loads
- Improving the reliability of devices and systems by introducing redundancy
- Calculation of the reliability of systems based on series-parallel structures
- Features of reliability of automated control systems
Key reading
- Şişmarev V.IY. Nadejnost tehnicheskih sistem : uchebnik dlıa stud. vysş. ucheb. zavedenii / V.IY.Şişmarev. — M. : Izdatelskii tsentr «Akademiıa», 2010. — 304 s.
- Matveevskii V.R. Nadejnost tehnicheskih sistem. Uchebnoe posobie –Moskovskii gosudarstvennyi institut lektroniki i matematiki. M., 2002 g. – 113 s.
- Nadejnost tehnicheskih sistem i tehnogennyi risk: uchebno-metodicheskoe posobie / sost. A.V. Kulagin, S.V. Şirobokov. Ijevsk: Izd. tsentr «Udmurtskii universitet», 2020. – 110 s.
Further reading
- Statisticheskie zadachi obrabotki i tablitsy dlıa chislovyh raschetov pokazatelei nadejnosti/ R.S. Sudakov, N.A. Severtsev, V.N. Titulov. – M.: FORUM, 2005.
- Liybimov A.K. Vvedenie v teoriiy nadejnosti: proektno-orientirovannyi podhod: Uchebno-metodicheskoe posobie. Nijnii Novgorod, 2014. – 176 s.
- Lazuta I.V. Diagnostika i nadejnost avtomatizirovannyh sistem, konspekt lektsii, Omsk, SibADI, 2018
- Andreev A.V. Teoreticheskie osnovy nadejnosti tehnicheskih sistem /uchebnoe posobie/ A,V. Andreev, V. V. Iakovlev, T.IY. Korotkaıa. — SPb.: Izd-vo Politehn. un-ta, 2018. — 164 s
- Polovko A. M., Gurov S. V. Osnovy teorii nadejnosti. – 2-e izd., pererab. i dop. – SPb.: BHV-Peterburg, 2006. – 704 s.
