Similarity analysis of dynamic temperature measurements

• Autorzy: Cui Zhiwen , Li Wenjun , Yu Sisi , Jin Minjun

Identyfikatory

DOI

10.24425/mms.2022.140036

• Języki publikacji: EN

Abstrakty

EN

Different temperature sensors show different measurement values when excited by the same dynamic temperature source. Therefore, a method is needed to determine the difference between dynamic temperature measurements. This paper proposes a novelty approach to treating dynamic temperature measurements over a period of time as a temperature time series, and derives the formula for the distance between the measurement values using uniform sampling within the time series analysis. The similarity is defined in terms of distance to measure the difference. The distance measures were studied on the analog measurement datasets. The results show that the discrete Fréchet distance has stronger robustness and higher sensitivity. The two methods have also been applied to an experimental dataset. The experimental results also confirm that the discrete Fréchet distance performs better.

Słowa kluczowe

EN

dynamic temperature; temperature time series; similarity measure; distance measurement

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2022
• Tom: Vol. 29, nr 2
• Strony: 283--300
• Opis fizyczny: Bibliogr. 20 poz., rys., tab., wykr., wzory

Twórcy

autor

Cui Zhiwen

• College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China

autor

Li Wenjun

• College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China

autor

Yu Sisi

• College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China

autor

Jin Minjun

• College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).