MEE 390 OER

by Nicholas Pohlman

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Publisher
Northern Illinois University
Subjects
Engineering
Licence
CC BY-NC 4.0, as LibreTexts states it. Non-commercial use only.
Who can read
Tweens profiles and older, judged from its title and subjects

Contents

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  1. Front Matter
  2. TitlePage
  3. InfoPage
  4. Table of Contents
  5. Preface and Licensing
  6. Introduction
  7. 1: Making Measurement Connections
  8. 2: Periodic Signals and Data Acquisition
  9. 2.1: Features and Fundamental Equations
  10. 2.2: Sampling Experimental Data
  11. 3: Uncertainty Analysis
  12. 3.1: Component Uncertainty
  13. 3.2: Combining Uncertainty in Function
  14. 4: Technical Writing
  15. 5: Calibration and Dynamic Response
  16. 5.1: Fitting with Weighted Least Squares
  17. 5.2: Dynamic Response from Linear ODEs
  18. 6: Fourier Analysis
  19. 6.1: Descriptions
  20. 6.2: Conversion of Function
  21. 6.3: Discrete data conversion and filtering
  22. 7: Probability and Statistics
  23. 7.1: Contextual background resulting in histogram
  24. 7.2: Central moments of probability density function
  25. 7.3: Probability from Gaussian distribution
  26. 7.4: Analysis with finite statistics
  27. 8: Laboratory Exercises
  28. 8.1: Digital data sampling
  29. 8.2: Stress and strain
  30. 8.3: Temperature and Heat Transfer
  31. 8.4: Fluid Flow and Forces
  32. 9: Supplementary Material Section
  33. 9.1: Chapter 1 Supplementary Reading Materials
  34. 9.2: Chapter 2 Supplementary Reading Materials
  35. 9.2.1: Discrete-Time Signal Processing
  36. 9.2.1.1: Introduction to Digital Signal Processing
  37. 9.2.1.2: The Sampling Theorem
  38. 9.2.1.3: Amplitude Quantization
  39. 9.2.1.4: Discrete -Time Signals and Systems
  40. 9.2.2: Analog-to-Digital-to-Analog Conversion
  41. 9.2.2.1: Introduction to Analog to Digital to Analog Conversion
  42. 9.2.2.2: The Sampling Theorem
  43. 9.2.2.3: Resolution and Sampling Rate
  44. 9.2.2.4: Digital-to-Analog Conversion Techniques
  45. 9.2.2.5: Analog-to-Digital Conversion
  46. 9.2.2.6: Extended Topic - Digital Signal Processing
  47. 9.2.2.7: Summary
  48. 9.2.2.8: Problems
  49. 9.2.3: Sampling and Reconstruction
  50. 9.2.3.1: Signal Sampling
  51. 9.2.3.2: Sampling Theorem
  52. 9.2.3.3: Signal Reconstruction
  53. 9.2.3.4: Perfect Reconstruction
  54. 9.2.3.5: Aliasing Phenomena
  55. 9.2.3.6: Anti-Aliasing Filters
  56. 9.2.3.7: Discrete Time Processing of Continuous Time Signals
  57. 9.3: Chapter 3 Supplementary Reading Materials
  58. 9.3.1: Importance of Statistics and Experimental Measurements
  59. 9.3.2: Total Uncertainty, Bias Error, and Propagation of Error
  60. 9.4: Chapter 4 Supplementary Reading Materials
  61. 9.5: Chapter 5 Supplementary Reading Materials
  62. 9.5.1: Undamped Free Vibrations
  63. 9.5.2: Viscous Damped Free Vibrations
  64. 9.5.3: Friction (Coulomb) Damped Free Vibrations
  65. 9.5.4: Undamped Harmonic Forced Vibrations
  66. 9.5.5: Viscous Damped Harmonic Forced Vibrations
  67. 9.6: Chapter 6 Supplementary Reading Materials
  68. 9.6.1: Introduction to the Frequency Domain
  69. 9.6.2: Complex Fourier Series
  70. 9.6.3: Classic Fourier Series
  71. 9.6.4: Fourier Series Approximation of Signals
  72. 9.6.5: Fourier Transform
  73. 9.6.6: Sampling and Reconstruction
  74. 9.6.6.1: Signal Sampling
  75. 9.6.6.2: Sampling Theorem
  76. 9.6.6.3: Signal Reconstruction
  77. 9.6.6.4: Perfect Reconstruction
  78. 9.6.6.5: Aliasing Phenomena
  79. 9.6.6.6: Anti-Aliasing Filters
  80. 9.6.6.7: Discrete Time Processing of Continuous Time Signals
  81. 9.7: Chapter 7 Supplementary Reading Materials
  82. 9.7.1: Design of Experiments
  83. 9.7.1.1: Design of Experiments via Taguchi Methods - Orthogonal Arrays
  84. 9.7.1.2: Design of experiments via factorial designs
  85. 9.7.1.3: Design of Experiments via Random Design
  86. 9.7.1.4: Summary- Summary on Control Architectures’ philosophies, advantages, and disadvantages.
  87. 9.8: Chapter 8 Supplementary Reading Materials
  88. Back Matter
  89. Index
  90. Glossary
  91. Detailed Licensing
  92. Detailed Licensing