Distributed Sensors Array for Composite Materials Manufacturing Quality Assurance

Coman, Ciprian Mihai; Florescu, Adriana; Stigliano, Giambattista

doi:10.1109/atee.2019.8724867

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Sensors networks are used nowadays in various setups, wired or wireless, just monitoring or also actuating, standalone or connected into industry 4.0. Applications include composite material manufacturing [4], electric grid monitoring and control [5], [6], agriculture [7], smart homes [8], smart city [9] etc. There are also innovative approaches to sensor data manipulation and storage using blockchain technologies, thus providing decentralization, transparency and immutability [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Coman

D’Amico²,

Coman³

et al. 2021

IEEE Access

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Sensor-Cloud Systems (SCS) are designed to link sensor networks and cloud applications, in order to gather and process information. While this is a hot topic for both academia and industry, with a large number of implementations, not much effort was put towards analysing the reliability of these systems. This article presents an experimental implementation of a system in the field of intelligent products and explores reliability improving techniques in five main areas of the SCS: network communication performance, auto recovery, local backup, automated software testing and system security. They all play an important role in determining the level of reliability of the novel Internet of Things (IoT) architecture framework for intelligent products presented in the article. A new formula is proposed for assessing the reliability of a SCS based on metrics from each of the five areas. Metrics used to assess the system reliability are presented, along with comparisons between operating with improvement techniques and without them. The results show that the reliability of the implemented SCS is improved considerably by implementing a deliberate reliability policy using an original five level tiered approach.

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Section: Introductionmentioning

confidence: 99%

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Coman

D’Amico²,

Coman³

et al. 2021

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

Assessment of Energy Use Based on an Implementation of IoT, Cloud Systems, and Artificial Intelligence

2021

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Nowadays products are developed at a rapid pace, with shorter and shorter times between concept and go to market. With the advancement in technology, product designers and manufacturers can use new approaches to obtain information about their products and transform it into knowledge that they can use to improve the product. We developed the Poket Framework platform to facilitate the generation of product knowledge. In order to increase the reliability and safety in operation of electrical equipment, an evaluation is proposed, through tests and studies, using the original Poket Framework platform. Thus, several tests and studies were performed, which included testing and analyzing the correct integration in several use cases and remote data acquisition, and testing and analysis of the Poket Framework using literature established data sets of household appliances and electrical systems. Possible evolutions and Poket platform extensions are also considered.

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Distributed Sensors Array for Composite Materials Manufacturing Quality Assurance

Cited by 2 publications

References 5 publications

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Techniques to Improve Reliability in an IoT Architecture Framework for Intelligent Products

Assessment of Energy Use Based on an Implementation of IoT, Cloud Systems, and Artificial Intelligence

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