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Suhrid Deshmukh et al.
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Wanke Yu et al.
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A review of fault detection and diagnosis methods for residential air conditioning systems
A. P. Rogers et al.
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Ding Li et al.
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An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising
Guannan Li et al.
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Jian Huang et al.
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Hanyuan Zhang et al.
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Zhanwei Wang et al.
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Hadi Shahnazari et al.
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Fault detection and diagnosis for nonlinear systems: A new adaptive Gaussian mixture modeling approach
Majid Karami et al.
ENERGY AND BUILDINGS (2018)
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Chao Shang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Batch process fault detection and identification based on discriminant global preserving kernel slow feature analysis
Hanyuan Zhang et al.
ISA TRANSACTIONS (2018)
A multiple kernel classification approach based on a Quadratic Successive Geometric Segmentation methodology with a fault diagnosis case
Leonardo M. Honorio et al.
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Hanyuan Zhang et al.
NEUROCOMPUTING (2018)
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis
Xiaogang Deng et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)
Semi-supervised learning for early detection and diagnosis of various air handling unit faults
Ke Yan et al.
ENERGY AND BUILDINGS (2018)
Advanced detection of HVAC faults using unsupervised SVM novelty detection and Gaussian process models
Philip Michael Van Every et al.
ENERGY AND BUILDINGS (2017)
Optimal Sensor Configuration and Feature Selection for AHU Fault Detection and Diagnosis
Dan Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Batch Process Monitoring Based on Multiway Global Preserving Kernel Slow Feature Analysis
Hanyuan Zhang et al.
IEEE ACCESS (2017)
Diagnostic Bayesian networks for diagnosing air handling units faults - part I: Faults in dampers, fans, filters and sensors
Yang Zhao et al.
APPLIED THERMAL ENGINEERING (2017)
Fault detection and diagnosis of chiller using Bayesian network classifier with probabilistic boundary
He Suowei et al.
APPLIED THERMAL ENGINEERING (2016)
Monitoring of operating point and process dynamics via probabilistic slow feature analysis
Feihong Guo et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2016)
Data-driven Fault Detection and Diagnosis for HVAC water chillers
A. Beghi et al.
CONTROL ENGINEERING PRACTICE (2016)
A robust fault detection and diagnosis strategy for multiple faults of VAV air handling units
Haitao Wang et al.
ENERGY AND BUILDINGS (2016)
A decision tree based data-driven diagnostic strategy for air handling units
Rui Yan et al.
ENERGY AND BUILDINGS (2016)
Design of experiments and focused grid search for neural network parameter optimization
F. J. Pontes et al.
NEUROCOMPUTING (2016)
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis
Chao Shang et al.
AICHE JOURNAL (2015)
Unsupervised feature selection using swarm intelligence and consensus clustering for automatic fault detection and diagnosis in Heating Ventilation and Air Conditioning systems
Mitchell Yuwono et al.
APPLIED SOFT COMPUTING (2015)
Diagnostic Bayesian networks for diagnosing air handling units faults - Part II: Faults in coils and sensors
Yang Zhao et al.
APPLIED THERMAL ENGINEERING (2015)
On-line monitoring of batch processes using generalized additive kernel principal component analysis
Ma Yao et al.
JOURNAL OF PROCESS CONTROL (2015)
Robust on-line fault detection diagnosis for HVAC components based on nonlinear state estimation techniques
Marco Bonvini et al.
APPLIED ENERGY (2014)
A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform
Shun Li et al.
ENERGY AND BUILDINGS (2014)
Sensor fault detection and its efficiency analysis in air handling unit using the combined neural networks
Zhimin Du et al.
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Monitoring of time-varying processes using kernel independent component analysis
Yingwei Zhang et al.
CHEMICAL ENGINEERING SCIENCE (2013)
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Xiaogang Deng et al.
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Weighted extreme learning machine for imbalance learning
Weiwei Zong et al.
NEUROCOMPUTING (2013)
Nonlinear dimensionality reduction using a temporal coherence principle
YaPing Huang et al.
INFORMATION SCIENCES (2011)
A forward-constrained regression algorithm for sparse kernel density estimation
Xia Hong et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2008)
Fault detection and diagnosis based on improved PCA with JAA method in VAV systems
Zhimin Du et al.
BUILDING AND ENVIRONMENT (2007)
Sensor fault detection and diagnosis of air-handling units using a condition-based adaptive statistical method
SW Wang et al.
HVAC&R RESEARCH (2006)
Fault detection of batch processes using multiway kernel principal component analysis
JM Lee et al.
COMPUTERS & CHEMICAL ENGINEERING (2004)
Statistical process monitoring: basics and beyond
SJ Qin
JOURNAL OF CHEMOMETRICS (2003)
Slow feature analysis: Unsupervised learning of invariances
L Wiskott et al.
NEURAL COMPUTATION (2002)