Fault detection and diagnosis for buildings and HVAC systems using combined neural networks and subtractive clustering analysis
By Zhimin Du, Bo Fan, Xin-qiao Jin, Jinlei Chi. 2014
307 citations recorded by the source corpus.
Subfields: Building and Construction, Computer Vision and Pattern Recognition, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/51cec5b6f7e1fa93ac511a97c705e7ae086fc05d
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In Computer Vision and Pattern Recognition
In Control and Systems Engineering
Citations in the corpus
- Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series (2018, methodology): “They include Multivariate Regression models [14], Bayes Classifier [15], Neural Networks (NN) [16], Fisher Discriminant Analysis (FDA) [17], Gaussion Mixture Model [18], Support Vector Data Description (SVDD) [19], Support Vector Machines (SVM) [20], and tree-structured learning method [21], [22].”