Matches in SemOpenAlex for { <https://semopenalex.org/work/W2594841701> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W2594841701 endingPage "178" @default.
- W2594841701 startingPage "167" @default.
- W2594841701 abstract "Sensor faults of air conditioning systems are harmful to optimal control strategies and system performance resulting in poor control of the indoor environment and waste of energy. In order to improve the fault detection and diagnosis (FDD) performance, this paper presents an enhanced sensor fault detection and diagnosis method based on the Satizky-Golay (SG) method and principal component analysis (PCA) method for the VRF system, namely SG-PCA method. Due to the volatility of the original data set of VRF system, the original data are smoothed using SG method at first. Then, the smoothed data are used for PCA model training and fault detection and diagnosis. In order to determine parameters of the SG method, an optimization index is proposed, which is calculated by the signal to noise ratio (SNR), the standard deviation (SD) and the self-detection efficiency. This SG-PCA method for VRF system sensor FDD is validated using field operation data of the VRF system. Various sensor faults at different fault levels are introduced. The results have showed that the SG-PCA method can significantly improve the fault detection and diagnosis performance compared to conventional PCA method." @default.
- W2594841701 created "2017-03-16" @default.
- W2594841701 creator A5003960188 @default.
- W2594841701 creator A5028638397 @default.
- W2594841701 creator A5054440931 @default.
- W2594841701 creator A5054664926 @default.
- W2594841701 creator A5058121560 @default.
- W2594841701 creator A5088560873 @default.
- W2594841701 creator A5091241527 @default.
- W2594841701 date "2017-05-01" @default.
- W2594841701 modified "2023-10-16" @default.
- W2594841701 title "An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis" @default.
- W2594841701 cites W1965693303 @default.
- W2594841701 cites W1966815603 @default.
- W2594841701 cites W1976500256 @default.
- W2594841701 cites W1977493878 @default.
- W2594841701 cites W1987801135 @default.
- W2594841701 cites W1989962986 @default.
- W2594841701 cites W1993011604 @default.
- W2594841701 cites W1996336707 @default.
- W2594841701 cites W2018456396 @default.
- W2594841701 cites W2020068051 @default.
- W2594841701 cites W2020583287 @default.
- W2594841701 cites W2049312080 @default.
- W2594841701 cites W2050649264 @default.
- W2594841701 cites W2051795414 @default.
- W2594841701 cites W2053403647 @default.
- W2594841701 cites W2057756949 @default.
- W2594841701 cites W2059703934 @default.
- W2594841701 cites W2092685740 @default.
- W2594841701 cites W2092897316 @default.
- W2594841701 cites W2094090018 @default.
- W2594841701 cites W2098062219 @default.
- W2594841701 cites W2158583373 @default.
- W2594841701 cites W2186290821 @default.
- W2594841701 cites W2219842228 @default.
- W2594841701 cites W2295773848 @default.
- W2594841701 cites W2521149711 @default.
- W2594841701 cites W771629075 @default.
- W2594841701 doi "https://doi.org/10.1016/j.enbuild.2017.03.026" @default.
- W2594841701 hasPublicationYear "2017" @default.
- W2594841701 type Work @default.
- W2594841701 sameAs 2594841701 @default.
- W2594841701 citedByCount "55" @default.
- W2594841701 countsByYear W25948417012017 @default.
- W2594841701 countsByYear W25948417012018 @default.
- W2594841701 countsByYear W25948417012019 @default.
- W2594841701 countsByYear W25948417012020 @default.
- W2594841701 countsByYear W25948417012021 @default.
- W2594841701 countsByYear W25948417012022 @default.
- W2594841701 countsByYear W25948417012023 @default.
- W2594841701 crossrefType "journal-article" @default.
- W2594841701 hasAuthorship W2594841701A5003960188 @default.
- W2594841701 hasAuthorship W2594841701A5028638397 @default.
- W2594841701 hasAuthorship W2594841701A5054440931 @default.
- W2594841701 hasAuthorship W2594841701A5054664926 @default.
- W2594841701 hasAuthorship W2594841701A5058121560 @default.
- W2594841701 hasAuthorship W2594841701A5088560873 @default.
- W2594841701 hasAuthorship W2594841701A5091241527 @default.
- W2594841701 hasConcept C11413529 @default.
- W2594841701 hasConcept C127413603 @default.
- W2594841701 hasConcept C152745839 @default.
- W2594841701 hasConcept C153180895 @default.
- W2594841701 hasConcept C154945302 @default.
- W2594841701 hasConcept C172707124 @default.
- W2594841701 hasConcept C27438332 @default.
- W2594841701 hasConcept C41008148 @default.
- W2594841701 hasConceptScore W2594841701C11413529 @default.
- W2594841701 hasConceptScore W2594841701C127413603 @default.
- W2594841701 hasConceptScore W2594841701C152745839 @default.
- W2594841701 hasConceptScore W2594841701C153180895 @default.
- W2594841701 hasConceptScore W2594841701C154945302 @default.
- W2594841701 hasConceptScore W2594841701C172707124 @default.
- W2594841701 hasConceptScore W2594841701C27438332 @default.
- W2594841701 hasConceptScore W2594841701C41008148 @default.
- W2594841701 hasFunder F4320321001 @default.
- W2594841701 hasLocation W25948417011 @default.
- W2594841701 hasOpenAccess W2594841701 @default.
- W2594841701 hasPrimaryLocation W25948417011 @default.
- W2594841701 hasRelatedWork W1975632186 @default.
- W2594841701 hasRelatedWork W2051487156 @default.
- W2594841701 hasRelatedWork W2073681303 @default.
- W2594841701 hasRelatedWork W2086072340 @default.
- W2594841701 hasRelatedWork W2373052636 @default.
- W2594841701 hasRelatedWork W2531880140 @default.
- W2594841701 hasRelatedWork W2899084033 @default.
- W2594841701 hasRelatedWork W3027745756 @default.
- W2594841701 hasRelatedWork W3205213561 @default.
- W2594841701 hasRelatedWork W2474947501 @default.
- W2594841701 hasVolume "142" @default.
- W2594841701 isParatext "false" @default.
- W2594841701 isRetracted "false" @default.
- W2594841701 magId "2594841701" @default.
- W2594841701 workType "article" @default.