A fuzzy sensor for measuring the mixed air temperature in air-handling units

Lee, P.S.; Dexter, A.L.

doi:10.1016/j.measurement.2004.08.007

Cited by 26 publications

(3 citation statements)

References 10 publications

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“…However, this is a costly approach. Lee and Dexter 2005and Tan and Dexter (2005 proposed a method for correcting the bias error associated with a single-point sensor using CFD simulations. However, this is also costly and difficult to implement in practice.…”

Section: Virtual Sensors For Heat Pumpsmentioning

confidence: 99%

A virtual supply airflow rate meter for rooftop air-conditioning units

Yu¹,

Li²,

Yang³

2011

Building and Environment

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Section: Virtual Sensors For Heat Pumpsmentioning

confidence: 99%

A virtual supply airflow rate meter for rooftop air-conditioning units

Yu¹,

Li²,

Yang³

2011

Building and Environment

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“…The uncertainties associated with the estimated temperature may be reduced at some operating conditions if the damper control signal is included as an auxiliary input to the fuzzy sensor [18].…”

Section: Sensors and Their Metrological Characterizationmentioning

confidence: 99%

Suppression of low-frequency interferences in the induction sensor of magnetic field

Sklyar¹

2006

Measurement

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“…Inferential sensors [1][2][3] are the estimation models, which employ measurable variables (like temperature and flow) to predict the variables that can be hardly measured, because of the technological constraints, long measurement periods, and considerable expenses. Moreover, they can detect fault and validate the measurements of physical sensors as a backup sensor [4].…”

Section: Introductionmentioning

confidence: 99%

Inferential Sensor for Estimation of the Concentration of Benzene in the Distillation Column Using TSK Fuzzy System Based on Modified Clustering Approach

Ghanaati¹

2017

AJCHE

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An inferential sensor is a computer program used for inferring the process variables, which are very hard to measure from the available measurement data. Measurement noises can affect the quality of the data which can be improved by wavelet denoising method. The objective of this paper is to design an inferential sensor for estimation of Benzene concentration in a typical distillation column. Selection of the most relevant input variables for estimation can improve the performance of inferential sensor which is done by Principal Component Analysis (PCA) technique. In this paper an inferential sensor is proposed based on a novel modification of the nearest neighbor distance-based clustering for developing a TakagiSugeno-Kang (TSK) fuzzy model optimized by the Particle Swarm Optimization (PSO) algorithm. The proposed technique was compared against the conventional nearest neighbor distance-based clustering approach optimized by PSO. The simulation results confirm that the designed inferential sensor based on the proposed method is more accurate even for a noisy data set.

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A fuzzy sensor for measuring the mixed air temperature in air-handling units

Cited by 26 publications

References 10 publications

A virtual supply airflow rate meter for rooftop air-conditioning units

A virtual supply airflow rate meter for rooftop air-conditioning units

Suppression of low-frequency interferences in the induction sensor of magnetic field

Inferential Sensor for Estimation of the Concentration of Benzene in the Distillation Column Using TSK Fuzzy System Based on Modified Clustering Approach

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