04290nam 2200997z- 450 991074326900332120230911(CKB)5690000000228618(oapen)doab113921(EXLCZ)99569000000022861820230920c2023uuuu -u- -engurmn|---annantxtrdacontentcrdamediacrrdacarrierIntelligent Soft SensorsMDPI - Multidisciplinary Digital Publishing Institute20231 online resource (230 p.)3-0365-8523-0 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 on control theory and are also referred to as state observers. There may be dozens or even hundreds of measurements from hard sensors (big data). The interaction of signals can be used to compute new quantities that cannot be measured directly online or are difficult and expensive to measure. Soft sensors are particularly useful in data fusion, combining measurements of different characteristics and dynamics. They can be used for fault diagnosis (self-analysis, self-calibration, and self-maintenance) as well as for control applications. Well-known software algorithms that can be seen as soft sensors include, for example, Kalman filters. More recent implementations of soft sensors use neural networks, fuzzy logic, models based on evolving clustering, partial least squares, etc. In the digitized factories of the future, intelligent sensors represent one of the core building blocks for automating and optimizing production, as they make production more efficient in every respect.History of engineering and technologybicsscTechnology: general issuesbicsscaffective computingbioprocess monitoringBIS indexcomputerized adaptive testing (CAT)D-S evidence theorydepth of hypnosisearly fire warningEDAelectrical resistanceexecutive functionsextended Kalman filterextreme learning machinefrequency analysisgeneral anesthesiahybrid feature fusionimage feature extractionimproved mathematical modelimproved particle swarm algorithmintelligent building systemjoule heating effectkeyframe extractionkinetic modelleast squares support vector machinemodellingmulti-source data fusionn/aneurodevelopmental disordersnon-linear modelsnonlinear regression modelnonlinear systemsobservabilityoutliersphysiological signalsPichia pastorispopulation-data-based modelprognostic and health managementpropofolRamanresidual modelrobust observerself-sensing actuationsensor selectionshape memory coilsimulatorsintering quality predictionsoft sensorsoft sensorssoft-sensor based diagnosisspectroscopystate estimationstress detectionsupport vector machine regression modeltarget-controlled infusiontotal intravenous anesthesiatransfer learningvariable selectionvariable stiffness actuationHistory of engineering and technologyTechnology: general issuesBOOK9910743269003321Intelligent Soft Sensors3560490UNINA