Monitoring of Industrial Electrical Equipment using IoT

Fabricio, Marcos Aurelio; Behrens, Frank Herman; Bianchini, David

doi:10.1109/tla.2020.9111678

Cited by 39 publications

(21 citation statements)

References 11 publications

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“…Martins and Oliveira [70] analyze the new industrial scenario for industry 4.0 applications where even power electronic systems are demanded to exchange sensing and control data, thus presenting cyber vulnerabilities. Fabrício et al [71] propose an IoT system for automatizing production lines in automotive companies. Bouk et al [72] study cyberattacks and security challenges faced by the vehicular cyber-physical systems (VCPS) using European and North American standards and frameworks for security in industrial control systems, unlike Kadobayashi and Takahashi [24], who used guidance from the US, Japanese, and South Korean security operations centers.…”

Section: B Information Security and The Common Criteria Standardmentioning

confidence: 99%

Proposal and Validation of a Standard Protection Profile for Homologation of Commercial Videoconferencing Equipment

2021

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In the present work, we propose and validate a Common Criteria Standard Protection Profile (sPP) for videoconferencing equipment. The research presents the definition and analysis of the homologation system used to validate the standard protection profile, focusing on its application focused in a large Brazilian financial company. We address the main points to consider in the acquisition and current use of this product: reasonable information security assumptions, technical standards, recommendations, and international best cybersecurity practices. As a result, we have developed a Standard Protection Profile identifying the information security risks involved and the minimum parameters required in those systems acquired and used for Government environments. This paper also presents all tests performed to validate the proposed sPP. As the application is critical, involving sensitive data, our results can also foster less risky conditions in the myriad situations caused by the COVID pandemic.

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Section: B Information Security and The Common Criteria Standardmentioning

confidence: 99%

Proposal and Validation of a Standard Protection Profile for Homologation of Commercial Videoconferencing Equipment

2021

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“…The decisions for scheduled maintenance do not absolutely invent from the dataset as the person-in-charge designates the decision rules, frequently leading to incorrect conclusions at maintenance activities. Not to mention, investment is costly and the equipment's monitoring using IoT is compulsory [10].…”

Section: Introductionmentioning

confidence: 99%

Simulation for predictive maintenance using weighted training algorithms in machine learning

Jittawiriyanukoon¹,

Srisarkun²

2022

IJECE

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<span>In the production, the efficient employment of machines is realized as a source of industry competition and strategic planning. In the manufacturing industries, data silos are harvested, which is needful to be monitored and deployed as an operational tool, which will associate with a right decision-making for minimizing maintenance cost. However, it is complex to prioritize and decide between several results. This article utilizes a synthetic data from a factory, mines the data to filter for an insight and performs machine learning (ML) tool in artiﬁcial intelligence (AI) to strategize a decision support and schedule a plan for maintenance. Data includes machinery, category, machinery, usage statistics, acquisition, owner’s unit, location, classiﬁcation, and downtime. An open-source ML software tool is used to replace the short of maintenance planning and schedule. Upon data mining three promising training algorithms for the insightful data are employed as a result their accuracy figures are obtained. Then the accuracy as weighted factors to forecast the priority in maintenance schedule is proposed. The analysis helps monitor the anticipation of new machines in order to minimize mean time between failures (MTBF), promote the continuous manufacturing and achieve production’s safety.</span>

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“…The design considerations include flexibility, easiness and it was developed using lowcost commercially available devices. Fabrício et al [15], the proposed IoT platform uses sensor-actuator modules as monitoring stations that are connected via USB to a data concentrator that is used as a control center. The monitoring station is implemented in Arduino UNO R3, while the control center is programmed in Python and contained in an Acer Aspire 2920z personal computer.…”

Section: Introductionmentioning

confidence: 99%

“…The fact that different modules can be connected to the control center makes the system scalable, allowing the integration of various systems that can provide information of interest to measure either the hydraulic and the electric operational ranges. In similar projects described in [15] and [18], the authors use monitoring modules to acquire the sensor signals that are sent to a control center. The control station receives the data and sends it to the cloud [16], [17].…”

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confidence: 99%

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Configuration of an IoT microhydraulic power generation system for education

Rico

Cruz-Alcantar

Pineda-Rico

et al. 2022

IJEECS

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Internet of things (IoT) involves the communication of all kinds of things embedded with sensors, electronics, software and people connected to the internet. Knowledge of IoT in the classroom provides an experience for engineering students to explore different career options. Under this scope, an IoT platform on the Arduino UNO and Raspberry Pi 3 development boards was built for academic purposes. The IoT platform was configured to monitor a microhydraulic power generation system used for the study of small-scale hydraulic power production, using a hydraulic head provided by a system of hydraulic pumps in series and/or parallel connection. The platform was designed considering a monitoring station for the acquisition of analog, digital, SPI and PWM data; a control station that receives data from the monitoring station and sends data to the cloud. The communication between modules was established using a publication/subscription system. The platform allows to registrate, visualize and process data directly in the cloud. Meaning that the IoT systems connected to this platform can be monitored from a cell phone, tablet or PC with internet access, promoting immediate access to the emerging information generated in the operating system.

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Monitoring of Industrial Electrical Equipment using IoT

Cited by 39 publications

References 11 publications

Proposal and Validation of a Standard Protection Profile for Homologation of Commercial Videoconferencing Equipment

Proposal and Validation of a Standard Protection Profile for Homologation of Commercial Videoconferencing Equipment

Simulation for predictive maintenance using weighted training algorithms in machine learning

Configuration of an IoT microhydraulic power generation system for education

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