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MEE 390 OER

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MEE 390 OER

Engineering
Author
Nicholas Pohlman
Publisher
Northern Illinois University
Source
LibreTexts
License
CC BY-NC
Language
EN
Read online Download PDF (open licence)
Contents· 81 sections
  1. 01: Making Measurement Connections
  2. 02: Periodic Signals and Data Acquisition
  3. 2.01: Features and Fundamental Equations
  4. 2.02: Sampling Experimental Data
  5. 03: Uncertainty Analysis
  6. 3.01: Component Uncertainty
  7. 3.02: Combining Uncertainty in Function
  8. 04: Technical Writing
  9. 05: Calibration and Dynamic Response
  10. 5.01: Fitting with Weighted Least Squares
  11. 5.02: Dynamic Response from Linear ODEs
  12. 06: Fourier Analysis
  13. 6.01: Descriptions
  14. 6.02: Conversion of Function
  15. 6.03: Discrete data conversion and filtering
  16. 07: Probability and Statistics
  17. 7.01: Contextual background resulting in histogram
  18. 7.02: Central moments of probability density function
  19. 7.03: Probability from Gaussian distribution
  20. 7.04: Analysis with finite statistics
  21. 08: Laboratory Exercises
  22. 8.01: Digital data sampling
  23. 8.02: Stress and strain
  24. 8.03: Temperature and Heat Transfer
  25. 8.04: Fluid Flow and Forces
  26. 09: Supplementary Material Section
  27. 9.01: Chapter 1 Supplementary Reading Materials
  28. 9.02: Chapter 2 Supplementary Reading Materials
  29. 9.2.01: Discrete-Time Signal Processing
  30. 9.2.1.01: Introduction to Digital Signal Processing
  31. 9.2.1.02: The Sampling Theorem
  32. 9.2.1.03: Amplitude Quantization
  33. 9.2.1.04: Discrete -Time Signals and Systems
  34. 9.2.02: Analog-to-Digital-to-Analog Conversion
  35. 9.2.2.01: Introduction to Analog to Digital to Analog Conversion
  36. 9.2.2.02: The Sampling Theorem
  37. 9.2.2.03: Resolution and Sampling Rate
  38. 9.2.2.04: Digital-to-Analog Conversion Techniques
  39. 9.2.2.05: Analog-to-Digital Conversion
  40. 9.2.2.06: Extended Topic - Digital Signal Processing
  41. 9.2.2.07: Summary
  42. 9.2.2.08: Problems
  43. 9.2.03: Sampling and Reconstruction
  44. 9.2.3.01: Signal Sampling
  45. 9.2.3.02: Sampling Theorem
  46. 9.2.3.03: Signal Reconstruction
  47. 9.2.3.04: Perfect Reconstruction
  48. 9.2.3.05: Aliasing Phenomena
  49. 9.2.3.06: Anti-Aliasing Filters
  50. 9.2.3.07: Discrete Time Processing of Continuous Time Signals
  51. 9.03: Chapter 3 Supplementary Reading Materials
  52. 9.3.01: Importance of Statistics and Experimental Measurements
  53. 9.3.02: Total Uncertainty Bias Error and Propagation of Error
  54. 9.04: Chapter 4 Supplementary Reading Materials
  55. 9.05: Chapter 5 Supplementary Reading Materials
  56. 9.5.01: Undamped Free Vibrations
  57. 9.5.02: Viscous Damped Free Vibrations
  58. 9.5.03: Friction (Coulomb) Damped Free Vibrations
  59. 9.5.04: Undamped Harmonic Forced Vibrations
  60. 9.5.05: Viscous Damped Harmonic Forced Vibrations
  61. 9.06: Chapter 6 Supplementary Reading Materials
  62. 9.6.01: Introduction to the Frequency Domain
  63. 9.6.02: Complex Fourier Series
  64. 9.6.03: Classic Fourier Series
  65. 9.6.04: Fourier Series Approximation of Signals
  66. 9.6.05: Fourier Transform
  67. 9.6.06: Sampling and Reconstruction
  68. 9.6.6.01: Signal Sampling
  69. 9.6.6.02: Sampling Theorem
  70. 9.6.6.03: Signal Reconstruction
  71. 9.6.6.04: Perfect Reconstruction
  72. 9.6.6.05: Aliasing Phenomena
  73. 9.6.6.06: Anti-Aliasing Filters
  74. 9.6.6.07: Discrete Time Processing of Continuous Time Signals
  75. 9.07: Chapter 7 Supplementary Reading Materials
  76. 9.7.01: Design of Experiments
  77. 9.7.1.01: Design of Experiments via Taguchi Methods - Orthogonal Arrays
  78. 9.7.1.02: Design of experiments via factorial designs
  79. 9.7.1.03: Design of Experiments via Random Design
  80. 9.7.1.04: Summary- Summary on Control Architectures philosophies advantages and disadvantages.
  81. 9.08: Chapter 8 Supplementary Reading Materials