Artificial self-recovery and autonomous health of machine / / Gao Jinji

• Autore: Jinji Gao
• Pubblicazione: Singapore : , : Springer, , [2023]; ©2023
• Descrizione fisica: 1 online resource (427 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Fault location (Engineering); Fault tolerance (Engineering)
• Nota di bibliografia: Includes bibliographical references (pages 397-404).
• Nota di contenuto: Intro -- Preface -- Acknowledgements -- Introduction-Towards the Era of Self-Recovery -- From "Cure" to "Self-Recovery" -- Development Courses of Automation -- Cybernetics and Engineering Cybernetics -- Engineering Self-Recoveries and Artificial Self-Recovery -- Artificial Self-Recovery Learn from the Principle of "Self-Regulation" in Traditional Chinese Medicine -- Artificial Self-Recovery Expands the Research Field of Bionics and Artificial Intelligence -- Engineering Self-Recoveries and Engineering Cybernetics -- Machine Cyber-Physical-Health Systems -- Accurate Source Tracing Diagnosis and Precise and Stable Self-Recovery Regulation -- Self-Recovery System and the Automatic Control System -- Intrinsic Safety and Autonomous Health -- Contents -- Part I Theoretical Exploration -- 1 Rise of Machines Draw Forth Artificial Self-recovery -- 1.1 Rise of Machines Promotes Changes in the Way of Failure Prevention and Maintenance -- 1.1.1 The Destructive Power of Machine Failure -- 1.1.2 The Rise of Large Industrial Equipment Promotes Failure from Cure to Self-recovery -- 1.2 Medical Science and Machine Failure Self-recovery -- 1.2.1 Similarities and Differences in the Way Humans Struggle with Faults and Diseases -- 1.2.2 Chinese Traditional Medicine and Artificial Self-recovery of Machine Faults -- 1.3 Artificial Self-recovery is the Inevitable Trend of the Intelligent Development of Fault Diagnosis and Treatment -- 1.3.1 Intelligent Development of Fault Diagnosis and Treatment-from Cure to Self-recovery -- 1.3.2 The Necessity of Studying Artificial Self-recovery Theory -- 2 Bionic Artificial Self-recovery and Artificial Intelligence -- 2.1 Artificial Self-recovery Expands the Research Field of Bionics and Artificial Intelligence -- 2.1.1 Artificial Self-recovery Expands the Research Field of Bionics. ; 2.1.2 Artificial Intelligence Lays the Foundation for Artificial Self-recovery -- 2.1.3 Bionic Artificial Self-recovery Enables Machine to be Autonomous Health -- 2.2 Connotation and Research Direction of Artificial Self-recovery and Artificial Intelligence -- 2.2.1 Conscious Thinking of the Human Brain and Unconscious Thinking of the Human Body -- 2.2.2 Artificial Intelligence Simulates Conscious Thinking to Make Machines Smarter -- 2.2.3 Artificial Self-recovery Simulates the Unconscious Thinking of the Human Body to Make the Machine Autonomous Health -- 2.2.4 Comparison Between Artificial Self-recovery and Artificial Intelligence -- 2.3 AS and AI Developing Courses and the CPS Three-Body Model -- 2.3.1 Developing Courses and Comparison of AS and AI -- 2.3.2 AI-CPS and AS-CPS Three Body Model -- 3 Self-recovery and Automation -- 3.1 The Emergence and Development of Automation and Self-recovery -- 3.1.1 The Emergence and Development of Automation -- 3.1.2 The Emergence and Application Status of Self-recovery Technologies -- 3.1.3 Functional Comparison Between Self-recovery and Automation -- 3.2 Self-recovery Technology Research Field -- 3.2.1 Classification of Fault Self-recovery Technologies -- 3.2.2 Self-repair Technology -- 3.2.3 Compensation Technology -- 3.2.4 Self-protection Technology -- 3.2.5 Fault Self-recovery Regulation Technology -- 4 Engineering Self-recoveries -- 4.1 The Emergence and Development of Cybernetics and Engineering Cybernetics -- 4.1.1 The Emergence and Research Field of Cybernetics -- 4.1.2 The Emergence, Development and Research Fields of Engineering Cybernetics -- 4.2 Industrial Accident Disaster Mechanism and Principles and Laws of Prevention and Control -- 4.2.1 Dissipative Structure Theory and Industrial Accident Disaster Mechanism. ; 4.2.2 The Formation and Development of Industrial Accidents and the Principles of Prevention and Control -- 4.2.3 Law of Accident Prevention and Control in Industrial Production Complex Systems -- 4.3 Engineering Self-recoveries is a New Field of Cybernetics Research -- 4.3.1 Engineering Self-recoveries Expands the Field of Cybernetics Research -- 4.3.2 Engineering Self-recoveries Enables Entropy Reduction to Keep Machines Orderly and Stable -- 4.3.3 Research Fields of Engineering Self-recoveries -- 4.3.4 Engineering Self-recoveries and Fault Tolerance Theory -- 4.3.5 Engineering Self-recoveries and Cybernetics and Engineering Cybernetics -- 4.4 Assumption of the Self-recoveries Theory -- 4.4.1 Engineering Self-recoveries and Dissipative Structure Theory -- 4.4.2 From Engineering Self-recoveries to Self-recoveries -- 5 Principle of Fault Self-recovery Regulation -- 5.1 Self-recovery Regulation and Intelligent Control -- 5.1.1 Cybernetics and Intelligent Control -- 5.1.2 Overview of Fault Self-recovery Regulation Principle -- 5.1.3 Core Idea of Self-recovery Regulation and Intelligent Control and Comparison of the Both -- 5.1.4 Self-recovery Regulation System and Basic Control System of the Machine -- 5.2 Scientific Basis of Self-recovery Regulation -- 5.2.1 Failure Mechanism and Suppression Law of Mechanical Equipment System -- 5.2.2 Fault Source Tracing Diagnosis and Fault Misdiagnosis Preventive Measures -- 5.2.3 Artificial Intelligence is the Foundation of Fast and Accurate Self-diagnosis of Faults -- 5.3 Self-recovery Regulation System and Targeted Suppression of Vibration Failure -- 5.3.1 Self-recovery Regulation System Based on Parameter/Structure Adaptation -- 5.3.2 Construction of Fault Self-recovery Regulation System -- 5.3.3 Self-recovery Regulation of Large-Scale Process Complex System -- 5.3.4 Vibration Failure Targeted Suppression Method. ; Part II Technical Research -- 6 Industrial Internet Enables Source Tracing Diagnosis and Intelligent Maintenance -- 6.1 Overview of the Development of Industrial Internet Intelligent Monitoring and Diagnosis -- 6.1.1 Overview of the Development of Industrial Internet Monitoring and Diagnosis at Home and Abroad -- 6.1.2 The Development Course of Networked Intelligent Monitoring and Diagnosis of Petrochemical Equipment in China -- 6.2 Industrial Internet Helps Fast and Accurate Early Warning and Source Tracing Diagnosis -- 6.2.1 Power and Way of the Sustainable Development for the Industrial Internet -- 6.2.2 One Hard-Fast Broadband Synchronous Acquisition and Intelligent Perception of Condition and Operating Data -- 6.2.3 One Soft-Source Tracing Diagnosis Expert System Based on Fault Mechanism and Big Data Analysis -- 6.2.4 One Network-Industrial Internet Remote Monitoring and Condition and Fault Database -- 6.2.5 One Platform-Industrial Cloud and Intelligent Early Warning and Source Tracing Diagnosis Service Platform -- 6.3 Industrial Internet Intelligent Maintenance Engineering Application -- 6.3.1 Industrial Internet Intelligent Maintenance Platform -- 6.3.2 Big Data Analysis of Industrial Internet Intelligent Maintenance -- 6.3.3 Enterprise Group Intelligent Diagnosis and Maintenance Industrial Internet Platform -- 6.3.4 Industrial Internet Source Tracing Diagnosis and Intelligent Maintenance Development Countermeasures -- 7 Autonomous Health and Assistive Rehabilitation and Safety Protection of Dynamic Machinery -- 7.1 Dynamic Machinery Self-recovery and Autonomous Health -- 7.1.1 Overview of Dynamic Machinery Self-recovery and Autonomous Health Technology -- 7.1.2 Autonomous Health Technology of Turbocompressor System -- 7.2 Real-Time Assistive Rehabilitation Engineering for Dynamic Machinery Failure. ; 7.2.1 Modern Medical Treatment and Equipment for Assistive Rehabilitation Projects -- 7.2.2 Research on Assistive Rehabilitation of Compressor Pipeline Broadband Vibration Tuned Mass Damping [132] -- 7.2.3 TMD Assistive Rehabilitation Project of Compressor Unit Vibration Fault [133] -- 7.3 Dynamic Balance of Turbine Compressor Unit On-Site -- 7.3.1 Field Dynamic Balance of Shaft System Vibration Fault of a Centrifugal Compressor Unit [23] -- 7.3.2 Field Dynamic Balance Without Trial Weight for Unbalanced Vibration of an Ammonia Centrifugal Compressor [135] -- 7.3.3 Research on the Virtual Dynamic Balance of the Multi-rotor Shaft System Without Trial Weight of Turbine Unit -- 7.4 Intelligent Interlocking Safety Protection System for Dynamic Machinery System -- 7.4.1 Necessity and Current Situation of Dynamic Machinery Safety Protection System -- 7.4.2 Intelligent Safety Interlock Protection for Dynamic Machinery -- 7.4.3 Intelligent Safety Interlock Protection for Aeroengine and Industrial Large System -- 8 Turbine Machinery Fault Source Tracing Diagnosis and Targeted Suppression Technology -- 8.1 Targeted Suppression of Multi Frequency Vibration and Instability of Turbine Compressor Rotor -- 8.1.1 Targeted Suppression of Rotor Multi-frequency Vibration by Electromagnetic Forces -- 8.1.2 Targeted Suppression of Centrifugal Compressor Rotor Vibration Based on Electromagnetic Damping Force -- 8.2 Targeted Suppression of Critical Speed and Critical Load Vibration of Turbomachinery -- 8.2.1 Multi-point Targeted Suppression of Critical Speed Vibration of Rotor Shaft System by Magnetorheological Damping [116] -- 8.2.2 Targeted Suppression of Critical Load Vibration of Integral Gear Speed-Increasing Centrifugal Compressor -- 8.3 Self-recovery Regulation of Shaft Displacement and Seal Failure of Turbo-Compressor Unit. ; 8.3.1 Self-recovery Regulation of Shaft Displacement Fault of Turbo-Compressor Unit.
• Titolo autorizzato: Artificial Self-Recovery and Autonomous Health of Machine
• ISBN: 9789811945144; 9789811945137
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910627246503321
• Lo trovi qui: Univ. Federico II