Matt Young's Notes on Uncertainty Analysis. Matt has an excellent presentation on uncertainty analysis at this link.
Notes on specific experiments:
Many physical phenomena, and sensor technologies are responsive to frequencies. Our own human ears separate sounds by their tones, and our eyesight discrimates colors and patterns. Signals carried by radio, television, radar, transmission lines, fiber optics, and even atomic vibrations are characterized by their frequencies and wavelengths rather than by their time dependent functions. Who can recognize the sounds of a trumpet and compare it to a clarinet playing different notes at the same time by looking at the minute air pressure fluctuations in their sound waves as a function of time? Nature knows that it's better for us humans to separate the sounds into a frequency spectrum using our Cochlea
In experiment 6A we will set up the equipment complement to process a complicated signal from an accelerometer that is to be bounced around, then in Experiment 6B we will actually process such a signal. The beginning student may wonder why we would go to so much trouble as to take a Fourier Transform of an accelerometer signal, but the point to be made here is that there are techniques to be learned for processing and measuring a wide variety of electrical signals in order to extract meaningful data from such signals and convey INFORMATION.
Some students may be surprised to learn that alternative representations of mathematical functions in frequency rather than time preceeded their practical application by 100 to 200 years. Pierre Laplace (1749-1827) and Joseph Fourier (1768-1830), (links to their biographies below), were not burdoned with the thought that the transforms and series named for them would be the everyday tools of engineers 200 years later.
And, some modern students (and professors as well!) might be surprised to learn that the mathematical work associated with transform functions is still not complete. For example, the precise necessary and sufficient conditions pertaining to a periodic function for it to be represented by a Fourier Series are yet UNKNOWN. [Source: Konrad Knopp; Theory and Application of Infinite Series, page 379. See also: Gibbs' Phenomenon].
Despite these pesky details, the use of Fourier Series and Transforms is a valuable tool which has been implemented in hardware and software for engineers and it is in common use, and all students should learn how to use the frequency spectrum in engineering work. For our purposes, the LabView virtual instrument software will do the necessary transforms, but it is important to know what it is doing, and its limitations.
The Fast Fourier Transform (FFT), is an algorithm which is a faster method of calculating a Fourier Transform to yield the frequency spectrum of a time based signal. There are commercially available single semiconductor chips that serve as FFTs and there are software programs. See also Intro. to Fourier Theory.
In Experiment 6B, we will analyse the output of an accelerometer attached to a [Approx. 500 g.] wooden block. The wooden block will be hung from the lab bench with rubber bands, and allowed to oscillate up and down. Its exact mass may be determined by weighing it on the lab scale. The specifications sheets provided by the vendors of the accelerometers are:
Hooke's Law can be used to relate the force imparted by the rubber bands on the wooden block, as a function of the vertical displacement of the wooden block, F = kx. Can we determine k, by placing small additional weights on the block, and measuring the resulting displacement?
Newton's Law, F = ma, can be used to determine the acceleration of the wooden block subject to the forces imposed on it. How does one write the equations of motion to take the effects of gravity into account?
Using the Crossbow accelerometer, we will introduce shock to the wooden block by dropping it on packaging material, and determining the results by analysing the output of the accelerometer.
About 10 minutes of each lab session is devoted to a brief introduction to the lives of historical persons who have been instrumental in the development of multidisciplinary electrical measurements. The purpose of this is to provide the students with a context for creative thinking by showing the problems that were solved and the barriers that were faced by these historical figures. The World Wide Web (WWW) provides an opportunity to easily present these biographies. At present, the material presented is not required for subsequent examination, but it is hoped that some students will find it interesting, entertaining, or inspiring.