1998
DOI: 10.1016/s0955-5986(98)00017-x
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Balance equations estimation with bad measurements detection in a water supply net

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Cited by 6 publications
(4 citation statements)
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“…Use of mass balance equation permits detection of flow measurement errors and evaluation of system performance as shown in the work of Menendez et al [20]. In this study we deal with the mass balance problem in consumer substation.…”
Section: Mass Balance Inspection Algorithmmentioning
confidence: 97%
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“…Use of mass balance equation permits detection of flow measurement errors and evaluation of system performance as shown in the work of Menendez et al [20]. In this study we deal with the mass balance problem in consumer substation.…”
Section: Mass Balance Inspection Algorithmmentioning
confidence: 97%
“…Consequently, energy consumption can be very different than the designed one. Use of mass balance equation permits detection of flow measurement errors and evaluation of system performance as shown in the work of Menendez et al [20]. Menendez et al suggested a method that integrated measurement uncertainty data and the maximum likelihood least-square estimation to estimate true water flow in the branches.…”
Section: Mass Balance Inspection Algorithmmentioning
confidence: 99%
“…A data reconciliation applied on a statistical process defined by linear equations is the study principle for the mass or energy flow measurements in a network. For example, the technique of the reconciliation of data named (FLow Optimal eStimation) (FLOS) (Men! endez et al, 1998), based on the GLR method, enables one to obtain a flow estimation in function of the slanted measure.…”
Section: Flow Optimal Estimation By Means Of Redundancymentioning
confidence: 99%
“…Recently, statistical methods have developed rapidly and attracts many researchers. One of these interesting methods, the generalized likelihood ratio (GLR), introduced for the first time by Willsky and Jones (1974) and then developed by Chafoux, Aituche, and Wang (1994) and Men! endez, Biscarri, and G !…”
Section: Introductionmentioning
confidence: 99%