Mechanical Dynamic Measurements

Presented by the founder of Hieber Engineering

Instructor: Mr. George M. Hieber, P.E.


COURSE DESCRIPTION

The need for taking measurements of fluctuating phenomena occurs fre-quently in many different fields of endeavor, from measuring the sideslip of vehicles during maneuvering at high speeds, to measuring the pressure in the combustion chamber of a rocket, to measuring the vital signs of a hospital patient. Modern computer technology can store and manipulate measurements tirelessly and yet more accurately compared to man, but the ultimate accuracy and reliability of measure-ments relies on the proper choice, installation, and calibration of the various sensors that are used.

This course is directed at people who are, or will be, involved with a need to measure fluctuating data. It describes the different types of transducers and sensors that can be used to measure these dynamic phenomena. The limitations and advantages of the various devices are described. In addition to the sensors, of course, are the signal conditioning techniques, including amplification and filtering. Noise is always present to some degree, so a thorough discussion of the means available to improve signal to noise is examined in detail. Examples of measurement techniques are given. Calibration and signal enhancement methods are described.

WHO SHOULD ATTEND

  • Engineers and experienced technicians involved in design, manufacturing and/or process con-trol technology.
  • Program managers involved in design, test or research on consumer, transportation or military/aerospace products.
  • Experienced personnel looking to upgrade their skills on the latest developments in measuring techniques and equipment.

COURSE OUTLINE

DAY 1

  • The Dynamic Signal
  • Harmonic Waves
  • Random Signals
  • Transients
  • Logarithms and dB
  • Transducers
  • Sensors
  • Signal Conditioning
  • Filtering
  • Ground Loops

DAY 2

  • Checking Measurement Reliability
  • Calibration
  • Noise
    • Spurious
    • EMI
  • Signal Analysis
  • Measurement of Stress
  • Measurement of Force
  • Measurement of Motion
  • Measurement of Pressure

©2006 Hobbs Engineering