Identifying causes of errors between two wave-related data using performance metrics

Iida, Takahito

doi:https://doi.org/10.1016/j.apor.2024.104024

アクセス数:19件（2025-01-18 14:27 集計）

固定URL: https://hdl.handle.net/11094/97160

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タイトル	Identifying causes of errors between two wave-related data using performance metrics
著者	NRID 1000050837573 1000050837573 researchmap permalink takahito_iida takahito_iida Scopus Author ID 56349040500 56349040500 著者名 Iida, Takahito
キーワード等	Frequency domain's representation
	Performance metrics
	Quantitative comparison
	Time-series wave data
内容	Iida T., . Identifying causes of errors between two wave-related data using performance metrics. Applied Ocean Research 148, 104024 (2024); https://doi.org/10.1016/j.apor.2024.104024.
抄録	Recently, numerous prediction methods of time-series data of wave-related phenomena have been developed. Quantitative evaluation of an error of a predicted result against a reference result is important to improve prediction accuracy. Many performance metrics are engaged to evaluate their accuracy. However, it is difficult for them to identify the error causes because all errors, no matter what the cause, are combined together. This paper presents new representations of performance metrics to separate errors by causes. Performances are evaluated in a frequency domain instead of a time domain. A frequency domain's amplitude and phase are respectively evaluated using performance metrics. In addition, to detect errors due to instantaneous phenomena and changes in an error trend over time, mean errors are defined by three-time intervals. The original metric uses all time-series data. On the other hand, a finite interval mean error at the present time is calculated by the mean of the preceding data. In addition, cumulative mean error at the present time is calculated by the mean of the data up to the present time. These new representations of performance metrics could help to identify error causes. Benchmark tests are carried out to demonstrate the validity of the proposed representations.
出版者	Elsevier Ltd
収録物名	Applied Ocean Research
巻(号)	148
ページ	104024
刊行年月	2024-07-01
言語	英語
ハンドルURL	https://hdl.handle.net/11094/97160
PISSN	01411187
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1016/j.apor.2024.104024
アクセス権	open access
権利情報	This article is licensed under a Creative Commons Attribution 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCTERMS.bibliographicCitation	Applied Ocean Research. 2024, 148, p. 104024
DC.title	Identifying causes of errors between two wave-related data using performance metrics
DC.creator	Iida, Takahito
DC.publisher	Elsevier Ltd
DC.language' scheme='DCTERMS.RFC1766	英語
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-07-01
DC.identifier	https://doi.org/10.1016/j.apor.2024.104024
DC.subject	Frequency domain's representation
	Performance metrics
	Quantitative comparison
	Time-series wave data
DC.description	Iida T., . Identifying causes of errors between two wave-related data using performance metrics. Applied Ocean Research 148, 104024 (2024); https://doi.org/10.1016/j.apor.2024.104024.
DCTERMS.abstract	Recently, numerous prediction methods of time-series data of wave-related phenomena have been developed. Quantitative evaluation of an error of a predicted result against a reference result is important to improve prediction accuracy. Many performance metrics are engaged to evaluate their accuracy. However, it is difficult for them to identify the error causes because all errors, no matter what the cause, are combined together. This paper presents new representations of performance metrics to separate errors by causes. Performances are evaluated in a frequency domain instead of a time domain. A frequency domain's amplitude and phase are respectively evaluated using performance metrics. In addition, to detect errors due to instantaneous phenomena and changes in an error trend over time, mean errors are defined by three-time intervals. The original metric uses all time-series data. On the other hand, a finite interval mean error at the present time is calculated by the mean of the preceding data. In addition, cumulative mean error at the present time is calculated by the mean of the data up to the present time. These new representations of performance metrics could help to identify error causes. Benchmark tests are carried out to demonstrate the validity of the proposed representations.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	97160
citation_title	Identifying causes of errors between two wave-related data using performance metrics
citation_author	Iida, Takahito
citation_publisher	Elsevier Ltd
citation_language	英語
citation_date	2024-07-01
citation_journal_title	Applied Ocean Research
citation_volume	148
citation_firstpage	104024
citation_doi	https://doi.org/10.1016/j.apor.2024.104024
citation_public_url	https://hdl.handle.net/11094/97160

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