DRAGAN, Dejan . Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 57, n.6, p. 477-484, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/fault-detection-of-an-industrial-heat-exchanger-a-model-based-approach/>. Date accessed: 20 dec. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2010.128.
Dragan, D. (2011). Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach. Strojniški vestnik - Journal of Mechanical Engineering, 57(6), 477-484. doi:http://dx.doi.org/10.5545/sv-jme.2010.128
@article{sv-jmesv-jme.2010.128, author = {Dejan Dragan}, title = {Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {57}, number = {6}, year = {2011}, keywords = {industrial heat exchanger; fault detection; condition monitoring; model-based detection; modelling; identification}, abstract = {One of the key issues in modelling for fault detection is how to accommodate the level of detail of the model description to suit the diagnostic requirements. The paper addresses a two-stage modelling concept to an industrial heat exchanger, which is located in a tyre factory. Modelling relies on both, prior knowledge and recorded data. During the identification procedure, the estimates of continuous model parameters are calculated by the least squares method and the state variable filters (SVF). It is shown that the estimates are largely invariant of the bandwidth of the SVFs. This greatly reduces the overall modelling effort and makes the whole concept applicable even for less experienced users. The main issues of the modelling procedure are emphasized. Based on the process model, a simple detection system is derived. An excerpt of the results obtained on operating records is given.}, issn = {0039-2480}, pages = {477-484}, doi = {10.5545/sv-jme.2010.128}, url = {https://www.sv-jme.eu/sl/article/fault-detection-of-an-industrial-heat-exchanger-a-model-based-approach/} }
Dragan, D. 2011 June 57. Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 57:6
%A Dragan, Dejan %D 2011 %T Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach %B 2011 %9 industrial heat exchanger; fault detection; condition monitoring; model-based detection; modelling; identification %! Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach %K industrial heat exchanger; fault detection; condition monitoring; model-based detection; modelling; identification %X One of the key issues in modelling for fault detection is how to accommodate the level of detail of the model description to suit the diagnostic requirements. The paper addresses a two-stage modelling concept to an industrial heat exchanger, which is located in a tyre factory. Modelling relies on both, prior knowledge and recorded data. During the identification procedure, the estimates of continuous model parameters are calculated by the least squares method and the state variable filters (SVF). It is shown that the estimates are largely invariant of the bandwidth of the SVFs. This greatly reduces the overall modelling effort and makes the whole concept applicable even for less experienced users. The main issues of the modelling procedure are emphasized. Based on the process model, a simple detection system is derived. An excerpt of the results obtained on operating records is given. %U https://www.sv-jme.eu/sl/article/fault-detection-of-an-industrial-heat-exchanger-a-model-based-approach/ %0 Journal Article %R 10.5545/sv-jme.2010.128 %& 477 %P 8 %J Strojniški vestnik - Journal of Mechanical Engineering %V 57 %N 6 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Dragan, Dejan. "Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach." Strojniški vestnik - Journal of Mechanical Engineering [Online], 57.6 (2011): 477-484. Web. 20 Dec. 2024
TY - JOUR AU - Dragan, Dejan PY - 2011 TI - Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2010.128 KW - industrial heat exchanger; fault detection; condition monitoring; model-based detection; modelling; identification N2 - One of the key issues in modelling for fault detection is how to accommodate the level of detail of the model description to suit the diagnostic requirements. The paper addresses a two-stage modelling concept to an industrial heat exchanger, which is located in a tyre factory. Modelling relies on both, prior knowledge and recorded data. During the identification procedure, the estimates of continuous model parameters are calculated by the least squares method and the state variable filters (SVF). It is shown that the estimates are largely invariant of the bandwidth of the SVFs. This greatly reduces the overall modelling effort and makes the whole concept applicable even for less experienced users. The main issues of the modelling procedure are emphasized. Based on the process model, a simple detection system is derived. An excerpt of the results obtained on operating records is given. UR - https://www.sv-jme.eu/sl/article/fault-detection-of-an-industrial-heat-exchanger-a-model-based-approach/
@article{{sv-jme}{sv-jme.2010.128}, author = {Dragan, D.}, title = {Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {57}, number = {6}, year = {2011}, doi = {10.5545/sv-jme.2010.128}, url = {https://www.sv-jme.eu/sl/article/fault-detection-of-an-industrial-heat-exchanger-a-model-based-approach/} }
TY - JOUR AU - Dragan, Dejan PY - 2018/06/28 TI - Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 57, No 6 (2011): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2010.128 KW - industrial heat exchanger, fault detection, condition monitoring, model-based detection, modelling, identification N2 - One of the key issues in modelling for fault detection is how to accommodate the level of detail of the model description to suit the diagnostic requirements. The paper addresses a two-stage modelling concept to an industrial heat exchanger, which is located in a tyre factory. Modelling relies on both, prior knowledge and recorded data. During the identification procedure, the estimates of continuous model parameters are calculated by the least squares method and the state variable filters (SVF). It is shown that the estimates are largely invariant of the bandwidth of the SVFs. This greatly reduces the overall modelling effort and makes the whole concept applicable even for less experienced users. The main issues of the modelling procedure are emphasized. Based on the process model, a simple detection system is derived. An excerpt of the results obtained on operating records is given. UR - https://www.sv-jme.eu/sl/article/fault-detection-of-an-industrial-heat-exchanger-a-model-based-approach/
Dragan, Dejan"Fault Detection of an Industrial Heat-Exchanger: A Model-Based Approach" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 57 Number 6 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 57(2011)6, 477-484
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
One of the key issues in modelling for fault detection is how to accommodate the level of detail of the model description to suit the diagnostic requirements. The paper addresses a two-stage modelling concept to an industrial heat exchanger, which is located in a tyre factory. Modelling relies on both, prior knowledge and recorded data. During the identification procedure, the estimates of continuous model parameters are calculated by the least squares method and the state variable filters (SVF). It is shown that the estimates are largely invariant of the bandwidth of the SVFs. This greatly reduces the overall modelling effort and makes the whole concept applicable even for less experienced users. The main issues of the modelling procedure are emphasized. Based on the process model, a simple detection system is derived. An excerpt of the results obtained on operating records is given.