Process/industrial instruments and controls handbook

The latest methods for increasing process efficiency, production rate, and quality. Award-winning editor Greg McMillan has loaded Process/Industrial Instruments and Controls Handbook, Fifth Edition, with advice from top technical experts to help you tackle process instrument and control assignments...

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Bibliographic Details
Other Authors: McMillan, Gregory K., Considine, Douglas M.
Format: Book
Language:English
Published: New York, NY Mc Graw Hill 1999
Series:McGraw-Hill handbooks
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Table of Contents:
  • Control System Fundamentals
  • Control Principles
  • Techniques for Process Control
  • Basic Control Algorithms
  • Safety in Instrumentation and Control Systems
  • Controllers
  • Distributed Control Systems
  • Programmable Controllers
  • Stand-Alone Controllers
  • Hydraulic Controllers
  • Batch Process Control
  • Automatic Blending Systems
  • Distributed Numerical Control and Networking
  • Computers and Controls
  • Manufacturing Message Specification
  • Field-Based Systems
  • Process Variables--Field Instrumentation
  • Temperature Systems
  • Fluid Pressure Systems
  • Industrial Weighing and Density Systems
  • Humidity and Moisture Systems
  • Geometric and Motion Sensors
  • Metrology, Position, Displacement, Thickness and Surface Texture Measurement
  • Magnetostrictive Linear Position Sensors
  • Object Detectors and Machine Vision
  • Flat Web (Sheet) Measurement and Control
  • Speed, Velocity and Acceleration Instrumentation
  • Vibration Measurement
  • Real-Time Analytical Composition Measurements for Input to Process Control
  • Concentration Measurement Technology and Devices
  • pH Measurement: Theory and Reality
  • Optical Concentration Transducers
  • Ultraviolet/Visible Absorption Analysis
  • Sample Extraction, Conditioning, and Preparation for On-Line Analysis (Continuous Sample Flow versus Discrete Sampling)
  • System Control and Managing Data
  • Calibration and Validation
  • Application Examples
  • Control Communications
  • Data Signal Handling in Computerized Systems
  • Noise and Wiring in Data Signal Handling.