Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - HVAC Systems Simulation: A Self-Structuring Fuzzy Rule-Based Approach
AU - Angelov, Plamen
AU - Hanby, V I
AU - Wright, J A
PY - 2000
Y1 - 2000
N2 - A methodology for the development of self-structuring fuzzy rule-based (FRB) models of HVAC components is proposed in the paper. Advantages of this method include model transparency (the linguistic rules are easily inspected), the possibility to insert expert knowledge into the model generation, and economy in computational effort in generating model output. The novelty of the proposed methodology lies in the specific approach used for automatic rule extraction [7]. It uses rule indices and therefore significantly reduces the computational load. The rules are extracted from the data without using a priori information about their structure. Modeling a range of ducted fans with different geometrical parameters and cooling coils are considered as illustrative examples. A software program implementing the proposed approach has been developed in the framework of Matlab v.5.2. Simulation data as well as published performance figures are used for FRB models learning. Real experimental data is also planned for use in the near future. The FRB models have potential applications in simulation, control and fault detection and diagnosis.
AB - A methodology for the development of self-structuring fuzzy rule-based (FRB) models of HVAC components is proposed in the paper. Advantages of this method include model transparency (the linguistic rules are easily inspected), the possibility to insert expert knowledge into the model generation, and economy in computational effort in generating model output. The novelty of the proposed methodology lies in the specific approach used for automatic rule extraction [7]. It uses rule indices and therefore significantly reduces the computational load. The rules are extracted from the data without using a priori information about their structure. Modeling a range of ducted fans with different geometrical parameters and cooling coils are considered as illustrative examples. A software program implementing the proposed approach has been developed in the framework of Matlab v.5.2. Simulation data as well as published performance figures are used for FRB models learning. Real experimental data is also planned for use in the near future. The FRB models have potential applications in simulation, control and fault detection and diagnosis.
KW - DCS-publications-id
KW - art-553
KW - DCS-publications-personnel-id
KW - 82
M3 - Journal article
VL - 1
SP - 49
EP - 58
JO - International Journal of Architectural Sciences
JF - International Journal of Architectural Sciences
SN - 1562-7810
IS - 1
ER -