Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes

• Autore: Gao Zhiwei
• Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
• Descrizione fisica: 1 online resource (514 p.)
• Soggetto topico: Technology: general issues
• Soggetto non controllato: acetonitrile; 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
• Persona (resp. second.): ChenMichael; ZhangDapeng; GaoZhiwei
• Sommario/riassunto: The book documents 25 papers collected from the Special Issue "Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes", highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.
• Titolo autorizzato: Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910557338303321
• Lo trovi qui: Univ. Federico II