Diagnostics in Electricity Industry
FEKT-MDELAcad. year: 2017/2018
Content of the course covers basics of diagnostics in consequence of faults progress and symptoms and in context of the faults causes seeking and their relationships. Chosen diagnostics methods used for apparatus condition determination, level of failure assessment and faults location using analysis of electrical and non-electrical quantities are discussed.
The course is aimed to vibro-diagnostics, noise-diagnostics, infra-diagnostics, and some electro-diagnostic methods oriented to diagnostics of chosen electrical apparatus and to electro-insulating systems in general. There are taken into consideration fundamentals of progress and detection of faults, measurement and test systems, including signal analysis and evaluation procedures as a part of all mentioned diagnostic methods. Attention is also focused to subsequent utilization of diagnostic data for complex diagnostic systems of technological entities.
Learning outcomes of the course unit
Student is able to:
- describe principles of diagnostics in engineering,
- discuss methods, testing and procedures of diagnostics in electrical power engineering,
- explain basics of vibro-, infra-, noise-diagnostics and chosen electro-diagnostics methods,
- perform diagnostics of common electric power apparatus,
- describe measurement and testing procedures,
- address condition of an apparatus, range of failure, including its localization.
General knowledge in electrical power engineering is expected, especially in the field of measurement and signal processing theory, respectively. In general, the subject knowledge on the Bachelor´s degree level is requested.
Recommended optional programme components
Recommended or required reading
Kreidl, M.: Diagnostické systémy. Skripta ČVUT, Praha 1997 (CS)
SLETBAK, J.REED,C.W., HIRABAYSHI,S.: Multistress behaviour of insulating materials and insulation structures, CIGRÉ 15-03, Paris 1984 (EN)
Janoušek, F.: Technická diagnostika .SNTL Praha 1988 (CS)
Blitz, J.: Electrical and Magnetics Methods of Nondestructive Testing. Adam Hilger, 1991 (EN)
Planned learning activities and teaching methods
Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations. Techning methods include lectures, numerical exercises and practical laboratories. Course is taking advantage of e-learning (Moodle) system. Students have to submit a team-based project/assignment during the course.
Assesment methods and criteria linked to learning outcomes
There are evaluated of laboratory exercises, a group project and final exam according to the rules of FEEC. Laboratory training is rated at maximum of 25 points on the basis of submitted records, whereas 12 points is the minimum for admission to final exam. As for the group project evaluation, at maximum 15 points can be achieved, whereas 5 points is the minimum for admission to final exam. The final exam is of oral form, where 60 point can be acquired maximally and successful pass is conditional on obtaining 20 points at minimum.
Overall classification of the course is in compliance with the FEEC rules. Requirements for completion of the course are specified by a regulation issued by the lecturer responsible of the course and are updated for every year.
The final exam is aimed at understanding in the field of power engineering apparatus diagnostics using vibro-, infra-, noise-diagnostics and chosen electro-diagnostics methods.
Language of instruction
Technical diagnostics. Fundamentals, faults progress and symptoms, methods, instruments, diagnostic systems.
Vibrodiagnostic. Fundamentals, quantities, sensors, instrumentation. Signal analysis, faults analysis and their location.
Noise-diagnostic. Quantities, sensors, instrumentation, measurement methodology. Utilization of acoustic emissions in diagnostic.
Infradiagnostics. Fundamentals, detectors, thermovision systems. Diagnostics using thermovision.
Diagnostics based on input current analysis. Current transducers, instrumentation, signal analysis. Application on an asynchronous machine diagnostics.
Diagnostics of windings using impulse wave. Principal, utilization, test system, testing procedure and evaluation.
Insulation systems diagnostics. Diagnostics using frequency response. Fundamentals, utilization (transformers), testing system, measurement result evaluation.
Insulation systems diagnostics. Diagnostics using measurement of insulation apparent resistance and time constant. Fundamentals, utilization, testing system, measurement result evaluation.
Insulation systems diagnostics. Diagnostics using insulation system capacitance and loss factor. Fundamentals, utilization, testing system, measurement result evaluation.
Insulation systems diagnostics. Diagnostics using C2/C50 ratio. Fundamentals, utilization, testing system, measurement result evaluation.
Diagnostics of power networks insulation condition. Faults, diagnostic systems.
Diagnostics of chosen apparatus. Generators, machines, transformers, cables, power lines.
Information systems for Technological facilities Diagnostics. Integrated diagnostic systems, their architecture, utilization, solutions.
Introducing students to basics of diagnostics and testing, to methods of seeking failures and their analysis in production, transmission, distribution and utilization of electricity. Rating and reliability of used methods and tests. Utilization for apparatus service life control.
Specification of controlled education, way of implementation and compensation for absences
The content and forms of course units are specified by a regulation issued by the responsible lecturer and are updated for every academic year. In general, the presence at class is optional except laboratory training, which is mandatory. Missed laboratory training can be accomplished within semester in an alternative date in justified cases, whereas regular letter of apology and agreement with the teacher is required.
Classification of course in study plans
- Programme EEKR-M1 Master's
- Programme EEKR-CZV lifelong learning
branch ET-CZV , 1. year of study, winter semester, 5 credits, optional specialized