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

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

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...

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Detalles Bibliográficos
Otros Autores: Gao, Zhiwei (Editor ), Chen, Michael (Otro), Zhang, Dapeng
Formato: Libro electrónico
Idioma:Inglés
Publicado: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Materias:
Technology: general issues
process control
separation
oil and gas
control chart
fuzzy logic
neutrosophic statistic
incomplete data
belief statistic
gamma distribution
microalgae
raceway
control problem
PID
event-based
flexible flow shop scheduling
multi-queue limited buffers
improved compact genetic algorithm
probability density function of the Gaussian distribution
transfer bees optimizer
reinforcement learning
behavior transfer
state-action chains
reactive power optimization
Holmquist-Johnson-Cook constitutive model of briquette
parameter acquisition
split Hopkinson pressure bar experiment
numerical simulation
pressure swing distillation
full-heat integration
acetonitrile
water
distributed model predictive control
steam power plant
steam/water loop
multi-input and multi-output system
loop design
optimal nonlinear adaptive control
memetic salp swarm algorithm
voltage source converter
perturbation observer
hardware experiment
MIMO temperature control in heating process system
pole-zero cancelation
temperature difference
transient response
dead time
slow-mode-based control
multi-input multi-output (MIMO) temperature system
temperature differences
non-pillar
gob-side entry retaining by roof cutting
close distance coal seams
goaf
stress distribution
semiconductor bonding equipment-grouping method
graph theory
association matrix
CFSFDP algorithm
self-learning
variable geometry turbocharger
deep reinforcement learning
deep deterministic policy gradient
flexible flow shop
limited buffer
public buffer
Hopfield neural network
local scheduling
simulated annealing algorithm
load identification
EWT
multiscale fuzzy entropy
PNN
Hybrid Attack Graph
Level-of-Resilience
stability
topology
distributed generation (DG)
INSGA-II
multi-objective optimization
potential crowding distance
static and dynamic planning
data-driven methods
coarse model
refrigeration
tunnel boring machine
roadway supporting
constitutive model
failure criterion
in-situ monitoring
power systems
complex network theory
Fast-Newman algorithm
link-addition strategy
cascading failures
flotation process
reagent dosage
time series froth image
cumulative distribution function
fault diagnosis
fault classification
fast Fourier transform (FFT)
multi-linear principal component analysis (MPCA)
uncorrelated multi-linear principal component analysis (UMPCA)
additive white Gaussian noises (AWGN)
wind turbine systems
deviation control
drilling machine
nonlinear adaptive backstepping controller disturbance observer
parameter uncertainties
wind turbine
energy conversion systems
condition monitoring
fault prognosis
resilient control
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009654372506719
Descripción
Sumario: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.
Descripción Física:1 electronic resource (514 p.)

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