Wireless IoT universal approach based on Allan variance method for detection of artificial vibration signatures of a DC motor's shaft and reconstruction of the reference signal. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Fethi_Choubani>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Mohamed_Hayouni>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Tan_Hoa_Vuong>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1049%2Fwss2.12038>
foaf:homepage	<https://doi.org/10.1049/wss2.12038>
dc:identifier	DBLP journals/iet-wss/HayouniVC22 (xsd:string)
dc:identifier	DOI doi.org%2F10.1049%2Fwss2.12038 (xsd:string)
dcterms:issued	2022 (xsd:gYear)
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rdfs:label	Wireless IoT universal approach based on Allan variance method for detection of artificial vibration signatures of a DC motor's shaft and reconstruction of the reference signal. (xsd:string)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Mohamed_Hayouni>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Tan_Hoa_Vuong>
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swrc:pages	81-92 (xsd:string)
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rdfs:seeAlso	<https://doi.org/10.1049/wss2.12038>
dc:title	Wireless IoT universal approach based on Allan variance method for detection of artificial vibration signatures of a DC motor's shaft and reconstruction of the reference signal. (xsd:string)
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