Analysis of signals from air conditioner compressors with ordinal patterns and machine learning

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Title

Analysis of signals from air conditioner compressors with ordinal patterns and machine learning

Content partner

Victoria University of Wellington

Collection

Open Access Victoria University of Wellington

Description

Most machines are equipped with devices that monitor their operation. Air conditioners, in particular, are routinely monitored through various measurements. A desirable outcome of this monitoring is identifying when the device will likely require maintenance. In this study, we present the use of Ordinal Patterns, a symbolic transformation of time series, which allows for the visual assessment of the type of operation. Ordinal Patterns are chosen because they can transform intricate time serie...

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Format

Research paper

Research format

Scholarly text / Journal article

Date created

2024

Creator

Keila Barbosa / Alejandro Frery / George DC Cavalcanti

URL

https://figshare.com/articles/journal_contribution/Analysis_of_signals_from_air_conditioner_compr...

Related subjects

Control engineering, mechatronics and robotics / Mechanical engineering / Acoustics

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