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Course info
KKS / TDS
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Course description
Department/Unit / Abbreviation
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KKS
/
TDS
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Technical Diagnostics
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
1
[Hours/Week]
Tutorial
4
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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7 / -
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0 / -
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4 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter semester
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Semester taught
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Winter semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
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Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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KKS/TD1
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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KKS/ZSZK4
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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The aim of this course is to introduce an actual runtime and experimental diagnostic methods to students. A great deal of the course is a practical part. A students create and test a separately problems with the support high level measuring systems.
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Requirements on student
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Minimal participation in 10 seminars.
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Content
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Schedule of lectures
1. Introduction, testing and diagnostics of manufacturing machines, reliability, basic terms
2. Technical diagnostics, diagnostic model, expert and diagnostic system, types of signals, signal analysis, errors
3. Selected physical methods of technical diagnostics - vibration, bearings
4. Selected physical methods of technical diagnostics - acoustics, ultrasound
5. Selected physical methods of technical diagnostics - temperature, thermography, defectoscopy
6. Selected physical methods of technical diagnostics - tribodiagnostics
7. Automation of testing and diagnostics of manufacturing machines.
Exercise plan
1. Introduction, familiarization with safety regulations and laboratory
2. Signal measurement, Virtual instruments, LabVIEW, introduction, principles
3. Static characteristics, strain gauges
4. Evaluation of fatigue life, stress measurement
5. Basic frequency analysis, FFT, transmission, utilization of transmission functions
6. 2nd order oscillating member (R, L, C)
7. Removable balancing of rigid rotors
8. Measurement of natural frequencies and oscillations, modal analysis, operating forms
9. Vibration diagnostics on the gearbox model, bearings, teeth, cepstrum
10. Measurement of noise, measurement of sound fields
11. Measurement of noise intensity, Beamforming
12. Geometric accuracy of lathe and cent
13. Final credit test, possible consultation of questions from students
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Activities
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Fields of study
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viz COURSEWARE
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Preparation for an examination (30-60)
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50
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Presentation preparation (report) (1-10)
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20
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Contact hours
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65
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Total
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135
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
Calculate a basic statistical parameters of data and use it to data analyze using common office software. |
Describe and explain on a higher level the physical principles and design of sensors of basic physical quantities |
Knowledge in a basic office software. Knowledge in a basic programming. Knowledge in a basic physical principles of sensors.
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Propose an algorithm for the measurement or analysis program. |
Use theoretical knowledge of programming, electrotechnics, mathematics, mechanics and machine parts in the design of diagnostic tests and measurements |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to design the basic parts of the diagnostic test |
to design a program in any programming language (knowledge of LabVIEW advantage) |
to realize basic electrical connections and mechanical composition of diagnostic tests |
to use office productivity calculations |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
to describe in a comprehensive way and explain advanced experimental measurement and diagnostic methods |
to design a simple diagnostic test, perform measurements, analyze data, and draw general conclusions |
to interpret the results of advanced mathematical analyzes in machine diagnostics |
apply a virtual instruments to an experimental diagnostics |
create a simply programs of a virtual instruments |
Skills - skills resulting from the course: |
use advanced computer and instrumentation to perform diagnostic tests |
use LabVIEW to create experimental measurements |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Skills - skills achieved by taking this course are verified by the following means: |
Oral exam |
Competences - competence achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Laboratory work |
Skills - the following training methods are used to achieve the required skills: |
Laboratory work |
Task-based study method |
Competences - the following training methods are used to achieve the required competences: |
Task-based study method |
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