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01000naa a22002652 4500 |
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NLM163012202 |
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DE-627 |
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20231223095437.0 |
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tu |
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231223s2006 xx ||||| 00| ||eng c |
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|a DE-627
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|e rakwb
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|a eng
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| 100 |
1 |
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|a Schraa, O
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Fault detection for control of wastewater treatment plants
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1 |
|c 2006
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 07.11.2006
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|a Date Revised 17.09.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a Interest in real-time model-based control is increasing as more and more facilities are being asked to meet stricter effluent requirements while at the same time minimizing costs. It has been identified that biological process models and automated process control technologies are being used at wastewater treatments plants throughout the world and that great potential for optimising biotreatment may exist with the integration of these two technology areas. According to our experience, wastewater treatment plants are indeed looking for ways to successfully integrate their modelling knowledge into their process control structure; however, there are practical aspects of this integration that must be addressed if the benefits of this integration are to be realised. This paper discusses the practical aspects of monitoring, filtering and analysing real sensor data with an aim to produce a reliable real-time data stream that might be used within a model-based control structure. Several real case study examples are briefly discussed in this paper
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|a Journal Article
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|a Tole, B
|e verfasserin
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|a Copp, J B
|e verfasserin
|4 aut
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|i Enthalten in
|t Water science and technology : a journal of the International Association on Water Pollution Research
|d 1986
|g 53(2006), 4-5 vom: 05., Seite 375-82
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|x 0273-1223
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| 773 |
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|g volume:53
|g year:2006
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