UID:
almafu_9960073781902883
Format:
1 online resource (438 p.)
ISBN:
0-323-16291-6
Content:
Control and Dynamic Systems V49: Manufacturing and Automation Systems: Techniques and Technologies
Note:
Description based upon print version of record.
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Front Cover; Manufacturing and Automation Systems: Techniques and Technologies, Part 5 of 5; Copyright Page; Table of Contents; CONTRIBUTORS; PREFACE; CHAPTER 1. FUNDAMENTAL LIMITS IN THE THEORY OF MACHINES; I. INTRODUCTION; II. LIMITS; III. MODELS AND MEANING; IV. SETS AND LOGIC; V. COMMUNICATION; VI. BUILDING RATIONAL MACHINES; VII. CONCLUSION; REFERENCES; Chapter 2. Neural Network Techniques in Manufacturing and Automation Systems; INTRODUCTION; A General Survey of Applications; Advantages of Neural Nets; Commercial Vendors; A Brief History of Neural Nets
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Neural Net Architectures and LearningGeneric Neurocontroller Architectures; Process Controllers; Nonlinearities in Process Control; ROBOTICS; Detailed Applications of Neural Networks inIndustry; Automotive Systems; Scheduling Systems; First Break Picking; Summary; REFERENCES; CHAPTER 3. TECHNIQUES FOR AUTOMATION SYSTEMS IN THE AGRICULTURE INDUSTRY; I. INTRODUCTION; II. Automation of Tractor Operations; III. Automation of Chemical Application; IV. Automation of Irrigation and Drainage; V. Automation of Grading and Sorting; VI. Automation of Greenhouse and Nursery Operations
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VII. Automation of Environmental ControlVIII. Automation of Electrical Energy Management; References; CHAPTER 4. MODELING AND SIMULATION OF MANUFACTURING SYSTEMS; I INTRODUCTION; II INTRODUCTION TO SIMULATION; Ill ELEMENTS OF A DISCRETE SIMULATION MODEL; IV SIMULATION MODELING WORLD VIEWS; V SIMULATION LANGUAGES and PACKAGES; VI ROLE OF SIMULATION IN MANUFACTURING; VII A SIMULATION LANGUAGE CASE STUDY; VIII A SIMULATION PACKAGE CASE STUDY; IX MATHEMATICAL MODELS; X NETWORKS and GRAPHICAL MODELS; XI PETRI-NETS; REFERENCES
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Chapter 5. Knowledge-Based Simulation Environment Techniques A Manufacturing System ExampleI. INTRODUCTION; II. KNOWLEDGE BASED DESIGN AND SIMULATION ENVIRONEMNT (KBDSE); III. OBJECT ORIENTED PROGRAMMING (OOP) FOR DISTRIBUTED EXPERT SYSTEM ENVIRONMENT (DESE); IV. INTERFACING DESE AND KBDSE: ATOMIC-EXPERT MODELS AND FORWARD-EXPERT-MODELS; V. INTERRUPTIBILITY OF ES MODELS; VI. AUTOMATED TEST FACILITY (ATF) DESIGN MODEL; VII. SUMMARY; VIII. REFERENCES; IX. APPENDIX; CHAPTER 6. FAULT DETECTION AND ISOLATION IN AUTOMATIC PROCESSES; I. INTRODUCTION; II. MODELLING; III. CONCEPT OF MODEL-BASED FDI
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IV. RESIDUAL GENERATIONV. RESIDUAL EVALUATION; VI. KNOWLEDGE-BASED FDI METHODS; VII. ASPECTS OF PRACTICAL APPLICATION; VIII. PRACTICAL APPLICATIONS; IX. CONCLUSIONS; X. REFERENCES; Chapter 7. CATFEM - Computer-Assisted Tomography and Finite Element Modeling; ABSTRACT; I. INTRODUCTION; II. COMPUTED TOMOGRAPHY; III. GEOMETRY; IV. THE DIGITAL REPLICA; V. VISUALIZATION; VI. REVERSE ENGINEERING; VII. FINITE ELEMENT MODELING AND ANALYSIS; VIII. SUMMARY; IX. REFERENCES; CHAPTER 8. DECISION AND EVIDENCE FUSION IN SENSOR INTEGRATION; I. INTRODUCTION
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II. Bayesian DDF in binary hypothesis testing with single-level local logic
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English
Additional Edition:
ISBN 0-12-012749-0
Language:
English
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