A study on semi-supervised learning in enhancing performance of AHU unseen fault detection with limited labeled data

Statistical characterization of semi-supervised neural networks for fault detection and diagnosis of air handling units

(2021) Cheng Fan et al.   ENERGY AND BUILDINGS

Generative adversarial network for fault detection diagnosis of chillers

(2020) Ke Yan et al.   BUILDING AND ENVIRONMENT

Real-world application of machine-learning-based fault detection trained with experimental data

(2020) Gerrit Bode et al.   ENERGY

A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis

(2020) Chenyu Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A comparison study of basic data-driven fault diagnosis methods for variable refrigerant flow system

(2020) Zhenxin Zhou et al.   ENERGY AND BUILDINGS

A Semi-supervised Learning Algorithm via Adaptive Laplacian Graph

(2020) Yuan Yuan et al.   NEUROCOMPUTING

Deep learning based reference model for operational risk evaluation of screw chillers for energy efficiency

(2020) Xu Zhu et al.   ENERGY

Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review

(2020) Maryam Sadat Mirnaghi et al.   ENERGY AND BUILDINGS

Adaptive-predictive control strategy for HVAC systems in smart buildings – A review

(2020) Maryam Gholamzadehmir et al.   Sustainable Cities and Society

Cyber security in smart cities: A review of deep learning-based applications and case studies

(2020) Dongliang Chen et al.   Sustainable Cities and Society

A data-driven fault detection and diagnosis scheme for air handling units in building HVAC systems considering undefined states

(2020) Woo-Seung Yun et al.   Journal of Building Engineering

Deep-learning-based fault detection and diagnosis of air-handling units

(2019) Kuei-Peng Lee et al.   BUILDING AND ENVIRONMENT

Chiller fault diagnosis with field sensors using the technology of imbalanced data

(2019) Yuqiang Fan et al.   APPLIED THERMAL ENGINEERING

Development and implementation of automated fault detection and diagnostics for building systems: A review

(2019) Zixiao Shi et al.   AUTOMATION IN CONSTRUCTION

Development and application of linear ventilation and temperature models for indoor environmental prediction and HVAC systems control

(2019) Chen Ren et al.   Sustainable Cities and Society

A simplified HVAC energy prediction method based on degree-day

(2019) Huajing Sha et al.   Sustainable Cities and Society

Towards optimal control of air handling units using deep reinforcement learning and recurrent neural network

(2019) Zhengbo Zou et al.   BUILDING AND ENVIRONMENT

Unsupervised learning for fault detection and diagnosis of air handling units

(2019) Ke Yan et al.   ENERGY AND BUILDINGS

Sustainable subway indoor air quality monitoring and fault-tolerant ventilation control using a sparse autoencoder-driven sensor self-validation

(2019) Jorge Loy-Benitez et al.   Sustainable Cities and Society

Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data

(2018) Cheng Fan et al.   APPLIED ENERGY

Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings

(2018) Alfonso Capozzoli et al.   ENERGY

Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review

(2018) Cheng Fan et al.   ENERGY AND BUILDINGS

Semi-supervised learning for early detection and diagnosis of various air handling unit faults

(2018) Ke Yan et al.   ENERGY AND BUILDINGS

Advanced detection of HVAC faults using unsupervised SVM novelty detection and Gaussian process models

(2017) Philip Michael Van Every et al.   ENERGY AND BUILDINGS

Detecting known and unknown faults in automotive systems using ensemble-based anomaly detection

(2017) Andreas Theissler   KNOWLEDGE-BASED SYSTEMS

Online fault detection methods for chillers combining extended kalman filter and recursive one-class SVM

(2017) Ke Yan et al.   NEUROCOMPUTING

Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings

(2017) Alfonso Capozzoli et al.   Sustainable Cities and Society

A sensor fault detection strategy for air handling units using cluster analysis

(2016) Rui Yan et al.   AUTOMATION IN CONSTRUCTION

A robust fault detection and diagnosis strategy for multiple faults of VAV air handling units

(2016) Haitao Wang et al.   ENERGY AND BUILDINGS

An improved fault detection method for incipient centrifugal chiller faults using the PCA-R-SVDD algorithm

(2016) Guannan Li et al.   ENERGY AND BUILDINGS

Advances and challenges in building engineering and data mining applications for energy-efficient communities

(2016) Zhun (Jerry) Yu et al.   Sustainable Cities and Society

Diagnostic Bayesian networks for diagnosing air handling units faults – Part II: Faults in coils and sensors

(2015) Yang Zhao et al.   APPLIED THERMAL ENGINEERING

An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction

(2015) Golnoush Abaei et al.   KNOWLEDGE-BASED SYSTEMS

Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units

(2014) Ken Bruton et al.   AUTOMATION IN CONSTRUCTION

Bayesian network based FDD strategy for variable air volume terminals

(2013) Fu Xiao et al.   AUTOMATION IN CONSTRUCTION

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study

(2013) Isaac Triguero et al.   KNOWLEDGE AND INFORMATION SYSTEMS

An online fault diagnosis tool of VAV terminals for building management and control systems

(2011) Haitao Wang et al.   AUTOMATION IN CONSTRUCTION

A hybrid FDD strategy for local system of AHU based on artificial neural network and wavelet analysis

(2010) Bo Fan et al.   BUILDING AND ENVIRONMENT