Course Processing of measured signals

Responsible: Prof. Dr. Stoll

Course

Meets requirements of following modules(MID)

in active programs

Course Organization

Version
created	2013-05-28
VID	2
valid from	WS 2012/13
valid to

Course identifiers
Long name	Processing of measured signals
CID	F07_MSV
CEID (exam identifier)	766

Contact hours per week (SWS)
Lecture	2
Exercise (unsplit)	2
Exercise (split)
Lab	1
Project
Seminar
Tutorial(voluntary)

Total contact hours
Lecture	30
Exercise (unsplit)	30
Exercise (split)
Lab	15
Project
Seminar
Tutorial (voluntary)

Max. capacity
Exercise (unsplit)
Exercise (split)	40
Lab	16
Project
Seminar

Total effort (hours): 150

Instruction language

German

Study Level

undergraduate

Prerequisites

Electronics 1, 2
Measurement technique

Textbooks, Recommended Reading

Hoffmann J., Taschenbuch der Messtechnik, Hanser
Lindner et. al., Taschenb. der Elektrotechnik und Elektronik, fv Leipzig-Köln

Instructors

Prof. Dr. Stoll

Supporting Scientific Staff

none

Transcipt Entry

Processing of measured signals

Assessment

Type
wE	written Exam

Total effort [hours]
wE	written Exam

Frequency: 2/Jahr

Course components

Lecture/Exercise

Objectives

Lerninhalte (Kenntnisse)

Industrial measurement chain
Properties of a measuring device
- Ideal properties
- Real properties
  - Steady-state properties
    - Precision
    - Zero point and span error
    - Error of linearity
      - Adjustment
      - Linearization
    - Error by hysteresis
    - Influence quantities
  - Dynamic properties
Analog processing of measured signals
- Ideal operational amplifier
  - Properties and basic circuits
  - Design and calculation of OP-circuits
- Interfaces between measurement devices
  - Potential levels
  - Supply
  - 4...20mA - interface
  - Galvanic isolation
  - Controlled current sources
    - Current controlled current sources
    - Voltage controlled current sources
- Differential amplifier
  - Common mode rejection
  - Input impedance
  - Instrumentation amplifier
  - Real operational amplifier
    - Small signal macromodel
    - Effect of influence quantities
    - Effect of drift
- Nonlinear devices
  - Multiplier
  - Carrier frequency technique
  - Electronic analog switches
  - Comparators
  - Voltage controlled oscillators (VCO)
  - Phase-Locked-Loop (PLL)
  - Analog-Digital-Converter
Digital processing of measured signals
- Test signals
  - Periodic signals
    - Description in time domain
      - Description by a period
      - Analytic signal
      - Description with harmonic functions
    - Description in frequency domain
      - Harmonic analysis as approximation problem
      - Description by sinus- and cosinus series
      - Amplitude- and phase spectrum
      - Compex Fourier series
      - Frequency response, linear distortion
    - Root mean square value (RMS), Parseval relation
  - Transients
    - Description in time domain
    - Description in frequency domain
      - Fourier transform
      - Frequency response
    - spectral energy density, Parseval relation
    - Auto- and crosscorrelation function
      - crosscorrelation function
      - autocorrelation function
      - Wiener-Khinchin relations
    - Transients with infinite energy
  - Stationary random signals
    - Statistic distribution function
    - RMS value, spectral power density, Parseval relation
    - Correlation function and Wiener-Khinchin relation
      - Crosscorrelation und crossspectrum
      - Autocorrelation and spectral power density
    - Coherence function
    - Frequency response
    - Convolution
- Discretisation
  - Discretisation in time domain
    - Sampling in time domain
    - Reconstruction of analog function of time from samples
  - Discretisation in frequency domain
    - Sampling in frequency domain
    - Reconstruction of analog Fourier transform from samples
  - Discrete Fourier transform
  - Time windows
  - Relations between 2 discrete signals
    - Discrete crosscorrelation function
    - Discrete convolution
  - Measurements with stationary, ergodic random signals
    - Power density spectrum
    - Coherence function
    - Frequency response
- Z-Transformation
  - Short introduction
  - Z-Transform of a delay element
  - Discrete convolution
  - Digital filters
    - FIR-Filter
    - IIR-Filter (Recursive digital systems)
    - Design of digital filters
  - Stability of linear, timediscrete systems
- Digital-Analog-converter
- in measuring stations
  - LabView
  - System analysis
    - System analysis in frequency domain
      - Mathematical models
      - Physical models
      - Measuring of physical parameters
    - System analysis in time domain
      - Mathematical models
      - Physical models
      - Measuring of physical parameters
- in transmitters
  - Smart transmitter

Acquired Skills

Specifying differences between measuring chains in
- Laboratory / Science
- Embedded systems
- Industry
Students are able to choose, design and optimize appropriate electronic devices to measure a certain quantity in an industrial environment
Students are able to apply analog and digital processing of measured signals and they can evaluate their suitability and behaviour
Students are able to decide, wether to solve a problem in processing measured signals with analog or digital methods
Students can choose electronic measurment processes and circuits for transmitters
Students can capture measurement data computer-based and process them with methods, which are appropriate for PC, microcontroller, digital signal processors and embedded systems

Operational Competences

Solving exercises

Additional Component Assessment

Type
wE	written Exam

Contribution to course grade

Frequency: 2/Jahr

Lab

Objectives

Lerninhalte (Kenntnisse)

Experiment 1: Transmitters use and application, wiring, calibration, electric interfaces, Hart protocol, standardized user interface, Field Device Tool (FDT) with Device Type Manager (DTM) e.g.. PACTware or VDI/VDE-Richtlinie 2187
Experiment 2: Design and build-up of a 4...20mA-transmitter for temperature on a circuit board, test, calibration, measurement of characteristic and influence of ambient temperature
Experiment 3: RMS value. Comparison of different kinds of signal processing: electric (moving iron instrument), analog physical (thermo converter), analog electronic (multimeter), digital (DSO) and manual calculation
Experiment 4: Digital data acquisition and -processing (DAQ). Analog measurement signals are captured with a PC, processed and measured values are output. Software LabView (NI) with virtual instruments (VI). Measurement devices with different interfaces are used: on board standard PC, USB, RS232, GPIB, Ethernet
Experiment 5: Analysis of dynamic systems, measurement of frequency response with stochastic signals, estimation of model parameters. Generation of test signals with an arbitrary waveform generator. DAQ with DSO and sound card. Controlled by LabView (NI)

Acquired Skills

Comprehension of task
Recognition of necessary knowledge and acquirement
Processing of measured signals with different methods
- electric
- analog physical
- analog electronic
- digital
Planning of systematic implementation
Adjusting experimental procedure to unexpected situations
Interpretation of test results, evaluation
Abstract of results
Delivery of report on the due date

Operational Competences

Experimental procedure

Additional Component Assessment

Type
wR	written Report

Contribution to course grade

Frequency: 1/Jahr

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