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Fiber optic sensing process control system based on data mining algorithm
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Title: Fiber optic sensing process control system based on data mining algorithm

Autor:

Gao, Wei

Współtwórca:

Urbańczyk, Wacław. Redakcja

Opis:

Optica Applicata, Vol. 55, 2025, nr 1, s. 49-62 ; Optica Applicata is an international journal, published in a non-periodical form in the years 1971-1973 and quarterly since 1973. From the beginning of the year 2008, Optica Applicata is an Open Access journal available online via the Internet, with free access to the full text of articles serving the best interests of the scientific community. The journal is abstracted and indexed in: Chemical Abstracts, Compendex, Current Contents, Inspec, Referativnyj Zhurnal, SCI Expanded, Scopus, Ulrich’s Periodicals Directory ; click here to follow the link

Abstrakt:

To measure the state of ethanol differentiation process, a fiber option sensing based process state monitoring system is designed. It includes a laser, demo module, PC processing module, fiber option sensing network, and state feedback control unit. A data mining algorithm for multi-parameter demo is proposed to accurately achieve temperature and strain field classification and combine accuracy to the different weights of temperature and strain on different positions, improving the correlation between wavelengths offset and state parameters. The experiment compared four common abnormal situations, The experiment adopts the method of collecting the temperature field inside the tank and the stress field outside the tank, with strain testing of 100–5000 με and temperature testing range of 0–120 °C. The results showed that the average temperature sensitivity after calibration was 0.0102 nm / °C, and the linearity was 0.9959. The average strain sensitivity is 0.499 pm/με, and the linearity is 0.9982. Feedback control has the ability to adjust state fluctuations online, and the feedback time varies for different types of anomalies. The temperature and strain wavelength deviations after correction for all four cases are less than ±1 °C and ±50 με.

Wydawca:

Oficyna Wydawnicza Politechniki Wrocławskiej

Miejsce wydania:

Wrocław

Data wydania:

2025

Typ zasobu:

artykuł

Identyfikator zasobu:

doi:10.37190/oa/199470 ; oai:dbc.wroc.pl:139707

Źródło:

<sygn. PWr A3481II> ; click here to follow the link ; click here to follow the link

Język:

eng

Powiązania:

Optica Applicata ; Optica Applicata, Vol. 55, 2025 ; Optica Applicata, Vol. 55, 2025, nr 1 ; Politechnika Wrocławska. Wydział Podstawowych Problemów Techniki

Prawa:

Wszystkie prawa zastrzeżone (Copyright)

Prawa dostępu:

Dla wszystkich w zakresie dozwolonego użytku

Lokalizacja oryginału:

Politechnika Wrocławska

Tytuł publikacji grupowej:

Optica Applicata

Subject and keywords:

optyka data mining FBG network industrial process equipment fiber optic sensing optimum control

Object collections:

Last modified:

6 lis 2025

In our library since:

26 sie 2025

Number of object content hits:

35

All available object's versions:

https://dbc.wroc.pl/publication/178521

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Edition name Date
Fiber optic sensing process control system based on data mining algorithm 6 lis 2025

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