Overcoming the complexity of diagnostic problems due to sensor network architecture
Najafi, M., Auslander, D.M., Bartlett, P.L., & Haves, P. (2008) Overcoming the complexity of diagnostic problems due to sensor network architecture. In Grigoriadis , K. (Ed.) Proceeding (633) Intelligent Systems and Control - 2008, ACTA Press, Orlando, USA.
In fault detection and diagnostics, limitations coming from the sensor network architecture are one of the main challenges in evaluating a system’s health status. Usually the design of the sensor network architecture is not solely based on diagnostic purposes, other factors like controls, financial constraints, and practical limitations are also involved. As a result, it quite common to have one sensor (or one set of sensors) monitoring the behaviour of two or more components. This can significantly extend the complexity of diagnostic problems. In this paper a systematic approach is presented to deal with such complexities. It is shown how the problem can be formulated as a Bayesian network based diagnostic mechanism with latent variables. The developed approach is also applied to the problem of fault diagnosis in HVAC systems, an application area with considerable modeling and measurement constraints.
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|Item Type:||Conference Paper|
|Keywords:||Fault Detection, HVAC Systems, Sensor Network, System Diagnostics, Machine Learning, Bayesian Networks|
|Subjects:||Australian and New Zealand Standard Research Classification > MATHEMATICAL SCIENCES (010000) > APPLIED MATHEMATICS (010200)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Schools > Mathematical Sciences
|Copyright Owner:||Copyright 2008 ACTA Press|
|Deposited On:||18 Aug 2011 08:59|
|Last Modified:||18 Aug 2011 08:59|
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