کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
772739 897727 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
پیش نمایش صفحه اول مقاله
Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis
چکیده انگلیسی

This paper presents a data-driven method based on principal component analysis and Fisher discriminant analysis to detect and diagnose multiple faults including fixed bias, drifting bias, complete failure of sensors, air damper stuck and water valve stuck occurred in the air handling units. Multi-level strategies are developed to improve the diagnosis efficiency. Firstly, system-level PCA model I based on energy balance is used to detect the abnormity in view of system. Then the local-level PCA model A and B based on supply air temperature and outdoor air flow rate control loops are used to further detect the occurrence of faults and pre-diagnose them into various locations. As a linear dimensionality reduction technique, moreover, Fisher discriminant analysis is presented to diagnose the fault source after pre-diagnosis. With Fisher transformation, all of the data classes including normal and faulty operation can be re-arrayed in a transformed data space and as a result separated. Comparing the Mahalanobis distances (MDs) of all the candidates, the least one can be identified as the fault source.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 49, Issue 12, December 2008, Pages 3654–3665
نویسندگان
, ,