Handbook Of Industrial AutomationSupplies the most essential concepts and methods necessary to capitalize on the innovations of industrial automation, including mathematical fundamentals, ergonometrics, industrial robotics, government safety regulations, and economic analyses. |
Contents
1 | |
Introduction to Sets and Relations | 33 |
Linear Algebra | 43 |
A Review of Calculus | 65 |
Ordinary Differential Equations | 87 |
Chapter 16 Boolean Algebra | 113 |
Algebraic Structures and Applications | 129 |
Measurement and Control Instrumentation ErrorModeled Performance | 137 |
The Future of Manufacturing | 451 |
Manufacturing Systems | 457 |
Intelligent Manufacturing in Industrial Automation | 485 |
Measurements | 489 |
Intelligent Industrial Robots | 499 |
Industrial Materials Science and Engineering | 529 |
Forming and Shaping Processes | 567 |
Molding Processes | 573 |
Fundamentals of Digital Motion Control | 157 |
InProcess Measurement | 177 |
Distributed Control Systems | 185 |
Chapter 32 Stability | 217 |
Digital Signal Processing | 233 |
Chapter 34 SampledData Systems | 253 |
Chapter 41 Regression | 269 |
A Brief Introduction to Linear and Dynamic Programming | 297 |
Simulation and Analysis of Manufacturing Systems | 323 |
Petri Nets | 337 |
Decision Analysis | 359 |
Sensors Touch Force and Torque | 377 |
Machine Vision Fundamentals | 393 |
ThreeDimensional Vision | 415 |
Industrial Machine Vision | 431 |
Material Handling and Storage Systems | 607 |
Automated Storage and Retrieval Systems | 643 |
Chapter 73 Containerization | 659 |
Robotic Palletizing of Fixed and VariableSizeContent Parcels | 673 |
Investigation Programs | 689 |
Government Regulation and the Occupational Safety and Health Administration | 719 |
Standards | 733 |
Perspectives on Designing Human Interfaces for Automated Systems | 749 |
Workstation Design | 793 |
Physical Strength Assessment in Ergonomics | 797 |
Engineering Economy | 829 |
ManufacturingCost Recovery and Estimating Systems | 849 |
863 | |
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Common terms and phrases
algorithm alternative analysis ANTEC antiderivative applications automation blow molding codes coefficients containers CONWIP cost defined denoted determine developed distribution dynamic eigenvalue elements engineering equipment error example factors Figure filter flow frequency function given handling human industrial injection molding inner-product space input integral inventory investigation kanban lifting linear load machine vision manufacturing material matrix measure ment method molding molding process nonlinear operations optimal OSHA output pallet parameters performance Petri Petri net pixel Polym predictor problem random variable regression response robot rotational molding sample sensor shown in Fig signal simulation solution standard strength structure Table tasks techniques Theorem tion tool transfer function transformation University of Cincinnati vector vector space Website weight z-transform zero