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dc.contributor.authorLin, Chang-Mingen_US
dc.contributor.authorLin, Sheng-Fuuen_US
dc.date.accessioned2020-02-02T23:54:34Z-
dc.date.available2020-02-02T23:54:34Z-
dc.date.issued2019-12-02en_US
dc.identifier.urihttp://dx.doi.org/10.3390/ma12244101en_US
dc.identifier.urihttp://hdl.handle.net/11536/153537-
dc.description.abstractWastewater treatment requires energy-intensive technology. The demand for industrial and residential wastewater treatment is increasing, and it has been widely accepted that low energy consumption and high operating efficiencies are essential to achieve high operating benefits in wastewater treatment plants (WWTPs). In this study, characteristic parameters of equipment operation were collected and subject to statistical analysis for trend observations in combination with expert knowledge to monitor equipment operating conditions. A methodology was developed to monitor and assess operating efficiencies of industrial equipment while not interfering with the existing operation. The proposed methodology was applied to monitor the pump efficiency in a WWTP. The results showed that the new methodology resulted in real-time acquisition of statistical operating data and enabled online detection of abnormal pump operation. The energy loss to low operating efficiencies of a malfunctioning pump was prevented, thereby allowing the pump to operate at high efficiency with an extended equipment life.en_US
dc.language.isoen_USen_US
dc.subjectwastewater pump monitoringen_US
dc.subjectefficiency statistical analysisen_US
dc.subjectwastewater pump conditionsen_US
dc.titleStatistical Features and Expert Knowledge for Monitoring Operating Efficiency and Conditions of Wastewater Treatment Pumpsen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ma12244101en_US
dc.identifier.journalMATERIALSen_US
dc.citation.volume12en_US
dc.citation.issue24en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000507308200079en_US
dc.citation.woscount0en_US
Appears in Collections:Articles