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Pregled bibliografske jedinice broj: 1203295

Condition Monitoring of Rotary Machinery Using Industrial IOT Framework


Kolar, Davor; Lisjak, Dragutin; Curman, Martin; Pająk, Michał
Condition Monitoring of Rotary Machinery Using Industrial IOT Framework // Tehnički glasnik, 16 (2022), 3; 343-352 doi:10.31803/tg-20220517173151 (međunarodna recenzija, članak, znanstveni)


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Naslov
Condition Monitoring of Rotary Machinery Using Industrial IOT Framework

Autori
Kolar, Davor ; Lisjak, Dragutin ; Curman, Martin ; Pająk, Michał

Izvornik
Tehnički glasnik (1848-5588) 16 (2022), 3; 343-352

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
accelerometer ; automated data collection ; Industrial Internet of Things (IIoT) ; MQTT ; Node RED

Sažetak
Modern maintenance strategies, such as predictive and prescriptive maintenance, which derived from the concept of Industry and Maintenance 4.0, involve the application of the Industrial Internet of Things (IIoT) to connect maintenance objects enabling data collection and analysis that can help make better decisions on maintenance activities. Data collection is the initial step and the foundation of any modern Predictive or Prescriptive maintenance strategy because it collects data that can then be analysed to provide useful information about the state of maintenance objects. Condition monitoring of rotary equipment is one of the most popular maintenance methods because it can distinguish machine state between multiple fault types. The topic of this paper is the presentation of an automated system for data collection, processing and interpretation of rotary equipment state that is based on IIoT framework consisting of an IIoT accelerometer, edge and fog devices, web API and database. Additionally, ISO 10816-1 guidance has been followed to develop module for evaluation of vibration severity. The collected data is also visualized in a dashboard in a near-real time and shown to maintenance engineering, which is crucial for pattern monitoring. The developed system was launched in laboratory conditions using rotating equipment failure simulator to test the logic of data collection and processing. A proposed system has shown that it is capable of automated periodic data collection and processing from remote places which is achieved using Node RED programming environment and MQTT communication protocol that enables reliable, lightweight, and secure data transmission.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb

Profili:

Avatar Url Dragutin Lisjak (autor)

Avatar Url Davor Kolar (autor)

Poveznice na cjeloviti tekst rada:

doi hrcak.srce.hr

Citiraj ovu publikaciju:

Kolar, Davor; Lisjak, Dragutin; Curman, Martin; Pająk, Michał
Condition Monitoring of Rotary Machinery Using Industrial IOT Framework // Tehnički glasnik, 16 (2022), 3; 343-352 doi:10.31803/tg-20220517173151 (međunarodna recenzija, članak, znanstveni)
Kolar, D., Lisjak, D., Curman, M. & Pająk, M. (2022) Condition Monitoring of Rotary Machinery Using Industrial IOT Framework. Tehnički glasnik, 16 (3), 343-352 doi:10.31803/tg-20220517173151.
@article{article, author = {Kolar, Davor and Lisjak, Dragutin and Curman, Martin and Paj\k{a}k, Micha\l}, year = {2022}, pages = {343-352}, DOI = {10.31803/tg-20220517173151}, keywords = {accelerometer, automated data collection, Industrial Internet of Things (IIoT), MQTT, Node RED}, journal = {Tehni\v{c}ki glasnik}, doi = {10.31803/tg-20220517173151}, volume = {16}, number = {3}, issn = {1848-5588}, title = {Condition Monitoring of Rotary Machinery Using Industrial IOT Framework}, keyword = {accelerometer, automated data collection, Industrial Internet of Things (IIoT), MQTT, Node RED} }
@article{article, author = {Kolar, Davor and Lisjak, Dragutin and Curman, Martin and Paj\k{a}k, Micha\l}, year = {2022}, pages = {343-352}, DOI = {10.31803/tg-20220517173151}, keywords = {accelerometer, automated data collection, Industrial Internet of Things (IIoT), MQTT, Node RED}, journal = {Tehni\v{c}ki glasnik}, doi = {10.31803/tg-20220517173151}, volume = {16}, number = {3}, issn = {1848-5588}, title = {Condition Monitoring of Rotary Machinery Using Industrial IOT Framework}, keyword = {accelerometer, automated data collection, Industrial Internet of Things (IIoT), MQTT, Node RED} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)


Citati:





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