Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 18 of 18 for “"Soft Sensor"”.
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Multimodal Soft Sensor Design through Single-Material Information Structuring
… increasingly general-purpose robots, we require soft sensors which replicate these essential properties without sacrificing robustness, longevity, or straightforward fabrication. This thesis proposes a design framework in which multimodal soft sensors are considered as information-generating …
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On robust and adaptive soft sensors.
… far beyond these applications. The task of soft sensors is the maximal exploitation of this potential by extracting and transforming the latent information from the data into more useful process knowledge. Theoretically, achieving this goal should be straightforward since the process data as …
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Particle size estimation of hydrocyclone overflow
… model that will form the basis of an industrial soft-sensor. Aside from increased throughput, efficient product regulation constitutes the primary function of a milling circuit control system. Before the milling circuit product size can be regulated, it should be measured or estimated. The …
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Online boiler convective heat exchanger monitoring: a comparison of soft sensing and data-driven approaches
… heat exchanger network by respectively using a soft sensor and a data-driven method. The soft sensor approach is based on a one-dimensional thermofluid process model which takes measurements as inputs and calculates unmeasured variables as outputs. The model is calibrated based on design …
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Design of an omnidirectional soft tactile sensor with applications in leak detection
Soft robots have many unique geometries requiring different tactile feedback mechanisms. In order to respond to their environment, soft robots would benefit by having multi-axis sensors that can determine how a surface is being contacted. As a particular application, previous soft sensor designs …
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Smart water network management with in-pipe leak detection robots
… detection robot, I investigated ways to make its soft leak sensors able to differentiate between pulling (due to leaks) and bending (due to bumps), and showed how a new design of adding fabric to the soft sensor allows the sensors to differentiate bending from pulling. Zooming out to the larger …
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DEVELOPMENT OF A NANOCOMPOSITE SENSOR AND ELECTRONIC SYSTEM FOR MONITORING OF LOCOMOTION OF A SOFT EARTHWORM ROBOT
… areas represents a key feature of modern soft robotic systems, used for exploration of harsh environments. Although people have developed various types of biomimetic soft robots, no integratedsensor system is available to provide feedback locomotion. Here, a stretchable nanocomposite …
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Novel Energy Efficient Electrohydraulic Steer-By-Wire Technology
… techniques are employed to develop a virtual (soft) sensor for estimating the vehicle's yaw angle rate by combining available sensory data with the derived high-fidelity mathematical model. The output of the virtual yaw rate sensor is compared against that of an installed yaw rate sensor, and …
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On Automation in Anesthesia
… hypnotic depth of the patient, while a simple soft sensor estimates the analgesic depth. Both induction and maintenance of anesthesia are closed-loop controlled, using a PID controller for propofol and a P controller for remifentanil. In order to tune the controllers, patient models have been …
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Multi-Scale Architecture-Driven Design of Ultra-Soft Conductive Composites for Flexible and Wearable Sensing Applications
… under repeated deformation. Conventional soft conductive composites rely on stochastic percolation networks, where conductive fillers are randomly distributed within an elastomer matrix, limiting control over electrical properties, reproducibility, and sensitivity. This thesis presents a …
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Bio-inspired soft robotic systems: Exploiting environmental interactions using embodied mechanics and sensory coordination
… to be acknowledged as a significant challenge. Soft robotics, the use of less rigid materials in robots, has been proposed as one means of addressing these limitations. The technique enables more compliant interactions with the environment, allowing for increasingly adaptive behaviours better …
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Inferential measurement for integrity and security of cyber-physical systems.
… for identifying the root causes of faults, a soft sensing model for predicting hard-to-measure variables, and a security framework to safeguard the sensors and Internet of Things network. There are two main techniques for developing an inferential measurement system: model-driven and …
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Desarrollo de un Sensor Virtual de Ley de Concentrado Rougher en Planta Las Tórtolas
Los sensores virtuales son modelos destinados a estimar alguna variable de interés, cuyo valor no se encuentra disponible en algún momento de la operación, en función de otras mediciones que sí están disponibles en algún momento determinado. Se desarrolló un sensor virtual para determinar la ley de …
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Combining Chemometrics and non-target GC-IMS gas phase analysis for improved bioprocess monitoring
… chemometric non-target screening techniques as a soft sensor for bioprocess monitoring. In consequence of the lack of suitable software, a Python package for the multivariate analysis of GC IMS data was developed and subsequently published as open-source software under the name gc-ims-tools. It …
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DYNAMICS AND CONTROL OF FORCED UNSTEADY-STATE CATALYTIC REACTORS
… has been organised as follows: - a model-based soft-sensor (observer) has been developed, in order to quickly and reliably estimate the feed composition from some temperature measurements in the reactor, thus avoiding expensive hardware sensors and time consuming on-line measurements. As …
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On-line Final Quality Prediction for Multiphase Batch Processes with Uneven Durations
… and lack of availability for real-time quality sensors. Off-line quality control strategies are insufficient since no timely corrective interventions can be implemented. Data-driven techniques based on latent methods such as Principal Component Analysis (PCA) and Partial Least Squares (PLS) have …
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Trustworthy Soft Sensing in Water Supply Systems using Deep Learning
… industrial and scientific applications, accurate sensor measurements are crucial. Instruments such as nitrate sensors are vulnerable to environmental conditions, calibration drift, high maintenance costs, and degrading. Researchers have turned to advanced computational methods, including …
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Enabling Soft Mechanosensing via Vat Photopolymerization 3D Printing: Materials, Design and Integration
L'abstract è presente nell'allegato / the abstract is in the attachment