Subject Area | Energy |
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Semester | Semester 3 – Fall |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | http://eclass.uth.gr |
Course Director |
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Course Instructor |
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Scientific Responsible |
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Title | MLSysOps: Machine Learning for Autonomic System Operation in the Heterogeneous Edge-Cloud Continuum |
Duration | 2023 – 2025 |
Site | https://csl.e-ce.uth.gr/projects/mlsysops |
Department of Electrical and Computer Engineering | |
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Tel. | +30 24210 74967, +30 24210 74934 |
gece ΑΤ e-ce.uth.gr | |
PGS Tel. | +30 24210 74933 |
PGS e-mail | pgsec ΑΤ e-ce.uth.gr |
URL | https://www.e-ce.uth.gr/contact-info/?lang=en |
Subject Area | Energy |
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Semester | Semester 3 – Fall |
Type | Required |
Teaching Hours | 4 |
ECTS | 6 |
Course Site | http://eclass.uth.gr |
Course Director |
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Course Instructor |
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The course offers an introduction to measurement systems and technology with special emphasis to electrical measurements. More specifically:
Introduction to metrology: Unit systems. Primary & Secondary standards.
Errors: Systematic and random errors. Composite errors. Error propagation.
Instrumentation: Fundamentals of most common instruments used in electrical measurements. Classes and Categories.
Bridge arrangements: AC & DC. Applications
Electrical measurements. Voltage. Current. Resistance. Reactance. Inductance. Power in DC & AC, single – phase & three – phase systems. Voltage & current transformers.
Special measurements: EM fields in substations / power lines. Grounding resistance. Fault loop.
Digital instruments: ADC & DAC. Signal conditioning. Loading effect. Data acquisition systems.
This is an introductory course to measurements systems with emphasis to the instruments and systems used in electrical measurements