Intelligent Soft Sensors

• Andere auteurs: Tomažič, Simon (Redacteur)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Onderwerpen: Technology: general issues; History of engineering & technology; extended Kalman filter; state estimation; sensor selection; observability; non-linear models; prognostic and health management; extreme learning machine; soft sensors; computerized adaptive testing (CAT); soft-sensor based diagnosis; executive functions; neurodevelopmental disorders; robust observer; bioprocess monitoring; nonlinear systems; general anesthesia; total intravenous anesthesia; target-controlled infusion; propofol; BIS index; depth of hypnosis; improved mathematical model; population-data-based model; residual model; early fire warning; hybrid feature fusion; intelligent building system; D-S evidence theory; affective computing; EDA; stress detection; physiological signals; frequency analysis; shape memory coil; joule heating effect; self-sensing actuation; variable stiffness actuation; electrical resistance; support vector machine regression model; nonlinear regression model; multi-source data fusion; sintering quality prediction; image feature extraction; keyframe extraction; soft sensor; improved particle swarm algorithm; least squares support vector machine; transfer learning; Pichia pastoris; spectroscopy; Raman; modelling; variable selection; outliers; simulator; kinetic model; n/a
• Online toegang: DOAB: download the publication; DOAB: description of the publication

This Special Issue deals with the field of intelligent soft sensors that enable the online estimation of nonmeasurable process variables. Soft sensors or virtual sensors are common names for software algorithms in which multiple measurements are processed together. Typically, soft sensors are based...