New trends in intelligent system design for embedded and measurement applications

Alippi, Cesare; Ferrari, S.; Piuri, Vincenzo; Sami, M.; Scotti, Fabio

doi:10.1109/5289.765968

Cited by 14 publications

(3 citation statements)

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“…Kadlec et al [2] have provided a detailed discussion on the design and application of data-driven soft sensors in the process industry. A few other previous works [5], [6], [20], [124]- [126] also discussed some issues/challenges relating to the design and application of soft sensors and can be found in the literature.…”

Section: A Possible Future Directions and Challengesmentioning

confidence: 99%

Design and Applications of Soft Sensors in Polymer Processing: A Review

Abeykoon

2019

IEEE Sensors J.

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In manufacturing industry, process monitoring is a key to observe the product quality, operational health, safety and also for achieving good/satisfactory process control performance. In polymer processing, the level of control of the process operational quality is vastly dependent upon the performance of the process monitoring techniques as it is quite difficult to observe the inside of an extruder barrel (or processing chamber) during the process operation. Currently, a number of physical sensing devices/techniques are widely available for industrial applications for monitoring of parameters such as melt temperature, melt pressure, screw/processing speed, product dimensions, etc in real-time. However, there may be some limitations in using physical sensors in piratical process measurements (such as melt viscosity and melt temperature profile) due to several constraints such as their access requirements, disruptive effects to the melt flow, fragility, complexity, etc. Therefore, soft sensing techniques should be highly useful for improved process monitoring and modelling, and hence for advanced process control. In this work, a general description is presented on the state-of-the-art of soft sensor design. Then, a comprehensive review is made on the use of soft sensing techniques in polymer processing applications while identifying their capabilities and limitations. Eventually, the importance of developing of such soft sensing techniques (together with some sort of built-on intelligence) for the advancement of process monitoring is discussed while indicating some of the possible directions for future industry.

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Section: A Possible Future Directions and Challengesmentioning

confidence: 99%

Design and Applications of Soft Sensors in Polymer Processing: A Review

Abeykoon

2019

IEEE Sensors J.

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“…Generally, any intelligent system needs all the three aspects covered during the engineering process. This often implies some sort of mesh-up of different techniques, thus requiring a composite system design (Alippi et al, 1999). Agents indeed are sufficiently undifferentiated with respect to the previous tripartition since they encompass natively, as shown further in the text, all these aspects.…”

Section: Agents and CImentioning

confidence: 99%

Hierarchical-granularity holonic modelling

Calabrese

Amato

Lecce

et al. 2010

J Ambient Intell Human Comput

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“…The Single Image Classifer ( fig.3) can be considered as a composite system that suitably combines the capabilities of the neural networks to tackle the variability of the input images and effectiveness of standard methods in calculating the angles [4]. Since the jet shape can vary widely in shape and intensity, and is not possible to state a precise definition of the "jet presence condition", the module to evaluate the jet presence ( fig.4) is implemented using a neural network.…”

Section: Acceptablementioning

confidence: 99%

Quality analysis measurement for laser cutting

Roggero

Scotti

Sessa

et al.

VIMS 2001. 2001 IEEE International Workshop on Virtual and Intelligent Measurement Systems (IEEE Cat. No.01EX447)

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A new approach to automated quality measurement of laser cut in industrial metal cutting processes is presented The paper demonstrates how i s possible to exploit the link between the shape of the erupted sparks from the metallic piece and the final quality of the edges of the laser cut, and propose a solution to automate the qualiw measurement. The analysis of the shape of the sparks is performed by using images from a camera during real time functioning. The trade-off between accuracy and robustness versus complexi@ was considered in order to achieve a prototype solution working in real time.

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New trends in intelligent system design for embedded and measurement applications

Cited by 14 publications

References 0 publications

Design and Applications of Soft Sensors in Polymer Processing: A Review

Design and Applications of Soft Sensors in Polymer Processing: A Review

Hierarchical-granularity holonic modelling

Quality analysis measurement for laser cutting

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