Course detail
Sensorics, Measurment and Industrial Diagnostics
FSI-VMD Acad. year: 2021/2022 Winter semester
The course is focused on the issues of technical diagnostics, sensors and measurements. The importance of these individual scientific areas is explained and their connection and importance for current industrial practice is emphasized. The teaching of the subject is consistently based on the latest current modern views on sensors, measurement and technical diagnostics.
First, attention is focused on technical metrology, then sensors and methods of measuring physical quantities. This is extensively elaborated and justified in the lectures. Emphasis is also placed on signal analysis, causes of failures of technical equipment and technical diagnostics. From the technical diagnostics, the student will get acquainted in some detail with vibrodiagnostics, electrodiagnostics, thermodiagnostics, noise diagnostics, acoustic emission and ultrasound. Other methods of technical diagnostics are also presented and solved, such as tribodiagnostics, assembly and optical measurements, etc. The student will thus get acquainted with the approaches in technical diagnostics, which are used in today's industry to assess the condition of technical equipment. Today, modern approaches based on remote monitoring, online system management, evaluation of measured data, visualization, etc. are also developed and presented in the course. The course also discusses in detail the reliability of elements and systems and a lot of space is devoted to maintenance to modern approaches.
The details of the course are elaborated in the way of teaching lectures and laboratory exercises.
Language of instruction
Czech
Number of ECTS credits
5
Supervisor
Department
Learning outcomes of the course unit
Learning outcomes of the course unit The aim of the course "Sensors, Measurement and Diagnostics" is to understand the basic facts from the mentioned areas and also to clarify the connections needed for technical practice. Students acquire a relatively high level of competence in the field of sensorics, measurement and technical diagnostics.
Prerequisites
Prerequisites and co-requisites Basic knowledge of physics, mathematics, statistics and mechanics is expected at the level of completed subjects in the framework of university studies.
Co-requisites
No requirements are required.
Planned learning activities and teaching methods
The course is taught in the form of lectures, which are an explanation of the basic principles and theory of the discipline. Teaching is complemented by laboratory exercises, where the theoretical knowledge gained from lectures is practically verified. Where possible, lectures will be organized for practitioners and field trips to companies dealing with activities related to the subject matter.
Assesment methods and criteria linked to learning outcomes
The course consists of exercises and lectures. Exercises are compulsory. Exercise is completed by credit (awarded in the 13th week). To obtain it, 100% attendance at seminars, activity at seminars and elaboration and submission of protocols from all prescribed laboratory exercises are required. Further details are given at the beginning of the semester.
The exam is written and oral. The evaluation of the test result is given by the ECTS grading scale.
Work placements
Internships are not expected.
Aims
Learning outcomes of the course unit The aim of the course is to acquire knowledge in the field of sensorics, measurement and technical diagnostics. These areas of science are important today to understand the problems in technical practice. The aim is also to become familiar with the maintenance of technical equipment, because it can significantly affect the economy of the company. The operability of technical equipment is also associated with an important area, namely reliability. Thus, the aim of the course is to understand the basic facts of reliability.
Specification of controlled education, way of implementation and compensation for absences
Controlled participation in lessons: Controlled participation in lessons: 100% attendance at seminars is required. In case of absence, the student is obliged to compensate the lessons.
Recommended optional programme components
If possible, it is possible to supplement the teaching of excursions to selected industrial companies or a lecture by invited experts from practice.
The study programmes with the given course
Programme N-AIŘ-P: Applied Computer Science and Control, Master's, compulsory
Type of course unit
Lecture
39 hours, optionally
Teacher / Lecturer
Syllabus
1. Importance of technical diagnostics, sensors and measurements – basic concepts and terminology.
2. Metrology. Gauges. Traceability of meters. Calibration and verification of meters. Measurement uncertainties. Measuring instruments. Block diagram of the measuring chain. Digital measuring instrument. The measurement process is controlled by a microprocessor. Smart devices. Wireless and virtual communication.
3. Sensory. Sensors. Distribution and properties of sensors. Examples of the use of selected sensors. Inductive, capacitive and ultrasonic sensor. Smart sensors. MEMS sensors.
4. Methods of measuring physical quantities: deformation, pressure, smart pressure sensors, temperature, smart temperature measurement, non-contact temperature measurement.
5. Methods of measuring physical quantities – continued: level, flow, humidity. Infrared absorption and reflection method.
6. Signal analysis. Signal – division and description. Measuring chain, channel. Multifunction measuring cards. Signal analyzers. Measurement interference. Digitization of analog signals. Quantization and sampling. Frequency analysis. Fourier transform. DFT and FFT transformations. Aliasing. Leak error. Examples of analyzers.
7. Causes of failures of technical equipment. Fault-mechanism and causes of faults. Wear. Other causes of failures.
8. Technical diagnostics. Diagnosability. Diagnosis. Fault, fault. Diagnostic quantity, resources, system. Diagnostician. Distribution of technical diagnostics according to diagnostic quantity and equipment. Multiparametric diagnostics. Current trends in technical diagnostics. Remote monitoring, online system management, evaluation of measured data, vusualization.
9. Vibrodiagnostics. Vibration. Measured quantities-deflection, speed, acceleration. Vibration measurement-vibrometers, vibrometers, analyzers. Vibration sensors and their properties. MEMS accelerometers. Calibration curve, sensor sensitivity. Mounting of sensors. Vibrations measured on non-rotating parts of the machine. Vibration evaluation. Frequency analysis. Analyzer settings. Spectrum analysis methods. Cascade diagrams. Phase shift. Acceleration envelope. Spectrograph. Vibrodiagnostics of bearings. On-line vibration diagnostics. Trends in vibrodiagnostics.
10. Electrodiagnostics. Electrical equipment and their diagnostics. Diagnostics of asynchronous motors – defects and faults, FFT analysis of stator current, diagnostic methods focused on machine windings, measurement of short circuit between windings and phases. Diagnostics of transformers, partial discharges and insulating liquids. Cable diagnostics.
11. Thermodiagnostics. Passive and active thermography. Noise diagnostics. Acoustic emission. Ultrasound.
12. Tribodiagnostics. Diagnostics of the state of wear of machine parts. Lubricant degradation diagnostics. Mounting and optical measurement. Alignment, misalignment. Establishment. Imbalance.
13. Reliability of elements and systems. Maintenance.
Laboratory exercise
26 hours, compulsory
Teacher / Lecturer
Syllabus
1. Introduction to the subject
2. Measurement uncertainties, measuring instruments
3. Sensors for measuring physical quantities
4. Measurement of static values of quantities
5. Measurement of dynamic values of quantities
6. Signal analysis and introduction to hardware and software for signal evaluation
7. Vibration diagnostics of technical equipment
8. Use of vibration diagnostics in technical practice
9. Electrodiagnostics, measurement of quantities and their evaluation
10. Thermodiagnostics, temperature measurement, thermovision
11. Assembly and optical measurement, machine alignment
12. Maintenance of machinery in practice, design of modern approaches in maintenance (TPM), reliability
13. Final exercise, evaluation, credit