doc. Ing. Miloš Hammer, CSc.

Institute of Automation and Computer Science

Czech

Programme D-KPI-P: Design and Process Engineering, Doctoral
branch ---: no specialisation, 0 credits, recommended course

20 hours, optionally

1. Introduction to technical diagnostics – basic terms, diagnostic quantity, diagnostic device and system. Diagnostic chain. Classification of technical diagnostics according to diagnostic quantity, description. Off-line and on-line diagnostics. Patient diagnostics – analysis, diagnostic tools, properties. Multiparametric diagnostics. On-line diagnostics. Standards of technical diagnostics.
2. Sensors, sensor functions, classification, sensor development, parameters, smart sensors, measuring chain, sensors in diagnostic practice.
3. Diagnostic signal, its description and analysis. Methods of signal analysis. Fourier transform, description of FFT calculation methods, description of signal characteristics, procedure of measurement and evaluation of spectra and frequency characteristics. Theory of analytical signal, Hilbert transform.
4. Vibrodiagnostics. Mechanical vibration of technical systems. Sensors, signal classification, FFT algorithm, measurement and evaluation of signal spectrum, principles of measuring point selection.
5. Vibrodiagnostics. Basic methods of vibration diagnostics, frequency analysis using FFT, vibration power, vibration trend, cepstral analysis, orbital analysis, modal analysis, method of visualization of operating modes of oscillations, phase measurement.
6. Fundamentals of fault diagnostics using vibrodiagnostics – static, dynamic and torque imbalance, angular and axial misalignment, bent shaft, eccentric rotor, mechanical release, toothed and belt gears, rolling and plain bearings, pumps, compressors etc.
7. Electrodiagnostics. Disorders and their detection. Operational diagnostics of rotating electrical machines (rotor rod interruption, motor misalignment, stator current analysis, threaded short circuits). Winding diagnostics methods. Other manifestations of electrical equipment operation – bearing currents, shaft voltage. Diagnostics of transformers. Cable diagnostics. Diagnostics of DC machines. Electrical discharges and their diagnostics in electrical equipment.
8. Thermodiagnostics – contact and contactless. Diagnostic tools and their properties. Thermal Imagers. Tribodiagnostics – oils and lubricants, machinery and equipment – temperature field. On-line tribodiagnostics. Noise diagnostics. Assembly and optical diagnostics.
9. Complex assessment of technical systems. Multiparametric diagnostics. Processing protocols from diagnostic examinations – rules, procedures, creation of a report based on the assessment of the status of a particular system Conclusions for further operation of technical systems, lifetime, maintenance. Maintenance design within modern approaches and methods.
10. On-line device diagnostics. Evaluation units. Dispatch PC, OPC server-visualization. Internal independent enterprise network. Server, evaluation SW. GSM Router. Internet, ethernet. Remote monitoring and management of the online system. Analysis and evaluation of the obtained data. Tools for analysis, automation and visualization of big data (big data). Digital twin, use in diagnostics and maintenance of technical systems. Artificial intelligence and machine learning. Edge computing.