Course detail

Sensorics, Measurment and Industrial Diagnostics

FSI-VMD Acad. year: 2024/2025 Winter semester

The course is focused on the issues of measurement (metrology), sensors and technical diagnostics. 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 knowledge.First, attention is focused on metrology, then sensors and methods for measuring physical quantities. This is extensively elaborated and justified in the lectures. Emphasis is also placed on signal analysis, causes of technical equipment failures, defects and damage, as well as non-destructive testing (NDT) and especially technical diagnostics. From 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 described, such as tribodiagnostics, assembly and optical measurements, multiparametric diagnostics, etc. The student will get acquainted with the approaches in technical diagnostics that are used in today's industry to assess the condition of technical equipment. Today, modern approaches based on remote monitoring, online system administration, evaluation of measured data, visualization, application of artificial intelligence, etc. are also developed and presented in the teaching. The reliability of elements and systems is also discussed in detail and considerable space is devoted to maintenance issues with a focus on modern approaches. The details of the course are elaborated in the way of teaching lectures and laboratory exercises.

Supervisor

doc. Ing. Miloš Hammer, CSc.

Department

Institute of Automation and Computer Science

Learning outcomes of the course unit

Prerequisites

Planned learning activities and teaching methods

Assesment methods and criteria linked to learning outcomes

Language of instruction

Czech

Aims

Specification of controlled education, way of implementation and compensation for absences

The study programmes with the given course

Programme N-AIŘ-P: Applied Computer Science and Control, Master's
branch ---: no specialisation, 5 credits, compulsory

Programme C-AKR-P: , Lifelong learning
branch CZS: , 5 credits, elective

Type of course unit

 

Lecture

39 hours, optionally

Teacher / Lecturer

doc. Ing. Miloš Hammer, CSc.

Syllabus


  1. Importance of technical diagnostics, sensors and measurements – basic concepts and terminology.

  2. Metrology. Gauges. Continuity of gauges. Calibration and verification of gauges. Measurement uncertainties. Measuring instruments. Block diagram of the measuring chain. Digital measuring instrument. 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. Fault, defect, damage. Non-destructive testing (NDT). Purpose, selected methods and techniques of NDT.

  8. Technical diagnostics. Diagnosable. Diagnosis. Fault, fault. Diagnostic quantity, resources, system. Diagnostician. Distribution of technical diagnostics according to diagnostic quantity and equipment. Multiparametric diagnostics. Models of diagnosed objects. Current trends in technical diagnostics. Remote monitoring, online system administration, data evaluation, visualization. Diagnostic expert system. Artificial intelligence, use of fuzzy sets and neural networks.

  9. Vibrodiagnostics. Vibration. Measured quantities-deviation, 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. Online 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. Wear condition diagnostics. Lubricant degradation diagnostics. Mounting and optical measurement. Alignment, misalignment. Establishment. Imbalance.

  13. Reliability of elements and systems. Renewable and non-renewable object. Repairable and unrepairable object. Reliability indicators. Reliability enhancement methods. Maintenance. Maintenance generation. Maintenance distribution. Modern approaches in maintenance. Total Productive Maintenance (TPM).


 

Laboratory exercise

26 hours, compulsory

Teacher / Lecturer

Ing. et Ing. Alena Hájková
doc. Ing. Miloš Hammer, CSc.

Syllabus


  1. Introduction to the issue of the subject, safety of work in the laboratory.

  2. Measurement of the geometric dimensions of the product. Practical activity, technical report.

  3. Signals. Signal analysis in the MATLAB environment.

  4. LabView – introduction to the program, demonstration examples. Creation of specific tasks on a specified topic.

  5. Methods of measuring physical (process) quantities – temperature, pressure. Measurement uncertainties.

  6. Methods of measuring physical (process) quantities – flow rate, level height.

  7. Methods of technical diagnostics, off-line and on-line diagnostics. Analyzers. Modern online systems, the SIPLUS CMS system.

  8. Vibrodiagnosis. Vibration assessment according to standards.

  9. Vibrodiagnosis. Time signal, spectra, fault diagnosis, bearing diagnosis, envelope method. Electrodiagnosis.

  10. Vibrodiagnosis. Data analysis using software. Log processing.

  11. Thermodiagnostics. Practical realization of the use of contact and non-contact temperature measurement, thermal camera. Log processing.

  12. Maintenance, TPM method (total productive maintenance), solution of concrete examples. Reliability of elements and systems, solving real cases.

  13. Final exercise, assessment, credit.