Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
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additive white Gaussian noises (AWGN) association matrix behavior transfer belief statistic cascading failures CFSFDP algorithm close distance coal seams coarse model complex network theory condition monitoring constitutive model control chart control problem cumulative distribution function data-driven methods dead time deep deterministic policy gradient deep reinforcement learning deviation control distributed generation (DG) distributed model predictive control drilling machine energy conversion systems event-based EWT failure criterion fast Fourier transform (FFT) Fast-Newman algorithm fault classification fault diagnosis fault prognosis flexible flow shop flexible flow shop scheduling flotation process full-heat integration fuzzy logic gamma distribution goaf gob-side entry retaining by roof cutting graph theory hardware experiment Holmquist-Johnson-Cook constitutive model of briquette Hopfield neural network Hybrid Attack Graph improved compact genetic algorithm in-situ monitoring incomplete data INSGA-II Level-of-Resilience limited buffer link-addition strategy load identification local scheduling loop design memetic salp swarm algorithm microalgae MIMO temperature control in heating process system multi-input and multi-output system multi-input multi-output (MIMO) temperature system multi-linear principal component analysis (MPCA) multi-objective optimization multi-queue limited buffers multiscale fuzzy entropy n/a neutrosophic statistic non-pillar nonlinear adaptive backstepping controller disturbance observer numerical simulation oil and gas optimal nonlinear adaptive control parameter acquisition parameter uncertainties perturbation observer PID PNN pole-zero cancelation potential crowding distance power systems pressure swing distillation probability density function of the Gaussian distribution process control public buffer raceway reactive power optimization reagent dosage refrigeration reinforcement learning resilient control roadway supporting self-learning semiconductor bonding equipment-grouping method separation simulated annealing algorithm slow-mode-based control split Hopkinson pressure bar experiment stability state-action chains static and dynamic planning steam power plant steam/water loop stress distribution temperature difference temperature differences time series froth image topology transfer bees optimizer transient response tunnel boring machine uncorrelated multi-linear principal component analysis (UMPCA) variable geometry turbocharger voltage source converter water wind turbine wind turbine systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
Gao Zhiwei
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Lo trovi qui: Univ. Federico II | ||
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Modelling, Monitoring, Control and Optimization for Complex Industrial Processes / / edited by Zhiwei Gao
| Modelling, Monitoring, Control and Optimization for Complex Industrial Processes / / edited by Zhiwei Gao |
| Pubbl/distr/stampa | [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (440 pages) |
| Disciplina | 006.31 |
| Soggetto topico | Reinforcement learning |
| ISBN | 3-0365-6394-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | About the Editor vii -- Preface to "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes" ix -- Special Issue on "Modelling, Monitoring, Control and Optimization for Complex Industrial Processes" 1 -- Real-Time Parameter Identification for Forging Machine Using Reinforcement Learning 7 -- A Simple and Effective Modeling Method for 3D Porous Irregular Structures 27 -- Modelling Method and Application of Anti-Corrosion Pill Particles in Oil and Gas Field Wellbore Casing Annulus Based on the Discrete Element Method 39 -- Identification and Analysis of Factors Influencing Green Growth of Manufacturing Enterprises Based on DEMATEL Method-Wooden Flooring Manufacturing Companies as a Case 53 -- T-S Fuzzy Model-Based Fault Detection for Continuous Stirring Tank Reactor 65 -- TLSCA-SVM Fault Diagnosis Optimization Method Based on Transfer Learning 81 -- Data-Driven State Prediction and Sensor Fault Diagnosis for Multi-Agent Systems with Application to a Twin Rotational Inverted Pendulum 113 -- Dynamically Triggering Resilient Control for Networked Nonlinear Systems under Malicious Aperiodic DoS Attacks 129 -- Tracking Control of a Hyperchaotic Complex System and Its Fractional-Order Generalization 145 -- Performance Improvement of H8 Transformerless Grid-Tied Inverter Using Model Predictive Control Considering a Weak Grid 159 -- An Effective Temperature Control Method for Dividing-Wall Distillation Columns 175 -- Linear Golden Section Speed Adaptive Control of Permanent Magnet Synchronous Motor Based on Model Design 193 -- Analysis and Design of a Standalone Electric Vehicle Charging Station Supplied by Photovoltaic Energy 209 -- Performance Optimization of a Steam Generator Level Control System via a Revised Simplex Search-Based Data-Driven Optimization Methodology 225 -- Remote Wind Farm Path Planning for Patrol Robot Based on the Hybrid Optimization Algorithm 247 -- Material Removal Optimization Strategy of 3D Block Cutting Based on Geometric Computation Method 269 -- Successful Pass Schedule Design in Open-Die Forging Using Double Deep Q-Learning 287 -- Optimization of the Sustainable Distribution Supply Chain Using the Lean Value Stream Mapping 4.0 Tool: A Case Study of the Automotive Wiring Industry 319 -- A Real-Time Optimization Strategy for Small-Scale Facilities and Implementation in a Gas Processing Unit 339 -- The Effect of Changes in Settings from Multiple Filling Points to a Single Filling Point of an Industry 4.0-Based Yogurt Filling Machine 369 -- Dynamic Cooperation of the 020 Supply Chain Based on Time Delays and Bidirectional Free-Riding 391 -- Music Generation System for Adversarial Training Based on Deep Learning 413. |
| Record Nr. | UNINA-9910647242803321 |
| [Place of publication not identified] : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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