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A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems

https://doi.org/10.1016/j.ijrefrig.2022.08.017
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Heat Recovery Unit Failure Detection in Air Handling Unit
inferredcites →https://doi.org/10.1007/s10994-009-5165-zopenalex-snapshot
Random classification noise defeats all convex potential boosters
inferredcites →https://doi.org/10.1007/s12273-018-0458-4openalex-snapshot
A critical review of fault modeling of HVAC systems in buildings
inferredcites →https://doi.org/10.1016/j.apenergy.2004.11.002openalex-snapshot
Sensor-fault detection, diagnosis and estimation for centrifugal chiller systems using principal-component analysis method
inferredcites →https://doi.org/10.1016/j.apenergy.2012.02.049openalex-snapshot
Application of machine learning in the fault diagnostics of air handling units
inferredcites →https://doi.org/10.1016/j.apenergy.2017.05.153openalex-snapshot
Modeling of HVAC operational faults in building performance simulation
inferredcites →https://doi.org/10.1016/j.apenergy.2018.05.075openalex-snapshot
Deep learning-based fault diagnosis of variable refrigerant flow air-conditioning system for building energy saving
inferredcites →https://doi.org/10.1016/j.applthermaleng.2005.10.039openalex-snapshot
Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method
inferredcites →https://doi.org/10.1016/j.applthermaleng.2007.03.021openalex-snapshot
Enhanced chiller sensor fault detection, diagnosis and estimation using wavelet analysis and principal component analysis methods
inferredcites →https://doi.org/10.1016/j.applthermaleng.2008.04.009openalex-snapshot
Performance of a residential heat pump operating in the cooling mode with single faults imposed
inferredcites →https://doi.org/10.1016/j.applthermaleng.2010.10.021openalex-snapshot
Study on a hybrid SVM model for chiller FDD applications
inferredcites →https://doi.org/10.1016/j.applthermaleng.2014.03.055openalex-snapshot
Review of modeling methods for HVAC systems
inferredcites →https://doi.org/10.1016/j.applthermaleng.2015.07.001openalex-snapshot
Diagnostic Bayesian networks for diagnosing air handling units faults – Part II: Faults in coils and sensors
inferredcites →https://doi.org/10.1016/j.applthermaleng.2015.09.121openalex-snapshot
Diagnostic Bayesian networks for diagnosing air handling units faults – part I: Faults in dampers, fans, filters and sensors
inferredcites →https://doi.org/10.1016/j.applthermaleng.2016.01.119openalex-snapshot
Empirical modeling of the impacts of faults on water-cooled chiller power consumption for use in building simulation programs
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Modularized PCA method combined with expert-based multivariate decoupling for FDD in VRF systems including indoor unit faults
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A hybrid ICA-BPNN-based FDD strategy for refrigerant charge faults in variable refrigerant flow system
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An efficient VRF system fault diagnosis strategy for refrigerant charge amount based on PCA and dual neural network model
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An effective fault diagnosis method for centrifugal chillers using associative classification
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Fault detection and diagnostics analysis of air conditioners using virtual sensors
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Machine learning based refrigerant leak diagnosis for a vehicle heat pump system
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Development and alpha testing of a cloud based automated fault detection and diagnosis tool for Air Handling Units
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Application of pattern matching method for detecting faults in air handling unit system
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Development and implementation of automated fault detection and diagnostics for building systems: A review
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A virtual supply airflow rate meter for rooftop air-conditioning units
inferredcites →https://doi.org/10.1016/j.buildenv.2013.11.021openalex-snapshot
Fault detection and diagnosis for buildings and HVAC systems using combined neural networks and subtractive clustering analysis
inferredcites →https://doi.org/10.1016/j.buildenv.2019.106236openalex-snapshot
A review of fault detection and diagnosis methods for residential air conditioning systems
inferredcites →https://doi.org/10.1016/j.buildenv.2021.107667openalex-snapshot
Fault detection and diagnosis for multiple faults of VAV terminals using self-adaptive model and layered random forest
inferredcites →https://doi.org/10.1016/j.buildenv.2021.108732openalex-snapshot
Inverse model-based detection of programming logic faults in multiple zone VAV AHU systems
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Diagnosis for multiple faults of chiller using ELM-KNN model enhanced by multi-label learning and specific feature combinations
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A survey on feature selection methods
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Data-driven Fault Detection and Diagnosis for HVAC water chillers
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Model-based Fault Detection and Diagnosis of Air Handling Units: A Comparison of Methodologies
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A review of data mining technologies in building energy systems: Load prediction, pattern identification, fault detection and diagnosis
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AHU sensor fault diagnosis using principal component analysis method
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A rule-based fault detection method for air handling units
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Detection and diagnosis for multiple faults in VAV systems
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A development of easy-to-use tool for fault detection and diagnosis in building air-conditioning systems
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A review on buildings energy consumption information
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A robot fault diagnostic tool for flow rate sensors in air dampers and VAV terminals
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A fault detection technique for air-source heat pump water chiller/heaters
inferredcites →https://doi.org/10.1016/j.enbuild.2011.03.018openalex-snapshot
A robust fault detection and diagnosis strategy for pressure-independent VAV terminals of real office buildings
inferredcites →https://doi.org/10.1016/j.enbuild.2011.06.011openalex-snapshot
Automated FDD of multiple-simultaneous faults (MSF) and the application to building chillers
inferredcites →https://doi.org/10.1016/j.enbuild.2011.12.018openalex-snapshot
A novel methodology for knowledge discovery through mining associations between building operational data
inferredcites →https://doi.org/10.1016/j.enbuild.2012.08.001openalex-snapshot
A rule augmented statistical method for air-conditioning system fault detection and diagnostics
inferredcites →https://doi.org/10.1016/j.enbuild.2012.08.016openalex-snapshot
Online model-based fault detection and diagnosis strategy for VAV air handling units
inferredcites →https://doi.org/10.1016/j.enbuild.2012.11.007openalex-snapshot
An intelligent chiller fault detection and diagnosis methodology using Bayesian belief network
inferredcites →https://doi.org/10.1016/j.enbuild.2013.08.044openalex-snapshot
A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform
inferredcites →https://doi.org/10.1016/j.enbuild.2014.05.049openalex-snapshot
ARX model based fault detection and diagnosis for chillers using support vector machines
inferredcites →https://doi.org/10.1016/j.enbuild.2014.06.042openalex-snapshot
A review of fault detection and diagnosis methodologies on air-handling units
inferredcites →https://doi.org/10.1016/j.enbuild.2016.07.014openalex-snapshot
A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis
inferredcites →https://doi.org/10.1016/j.enbuild.2016.08.017openalex-snapshot
A probabilistic approach to diagnose faults of air handling units in buildings
inferredcites →https://doi.org/10.1016/j.enbuild.2016.12.018openalex-snapshot
A tool for evaluating fault detection and diagnostic methods for fan coil units
inferredcites →https://doi.org/10.1016/j.enbuild.2017.03.026openalex-snapshot
An enhanced PCA method with Savitzky-Golay method for VRF system sensor fault detection and diagnosis
inferredcites →https://doi.org/10.1016/j.enbuild.2017.11.023openalex-snapshot
A statistically-based fault detection approach for environmental and energy management in buildings
inferredcites →https://doi.org/10.1016/j.enbuild.2018.02.032openalex-snapshot
Fault detection and diagnosis for nonlinear systems: A new adaptive Gaussian mixture modeling approach
inferredcites →https://doi.org/10.1016/j.enbuild.2018.05.025openalex-snapshot
Improved sensor fault detection, diagnosis and estimation for screw chillers using density-based clustering and principal component analysis
inferredcites →https://doi.org/10.1016/j.enbuild.2018.10.016openalex-snapshot
Semi-supervised learning for early detection and diagnosis of various air handling unit faults
inferredcites →https://doi.org/10.1016/j.enbuild.2018.12.032openalex-snapshot
Early detection of faults in HVAC systems using an XGBoost model with a dynamic threshold
inferredcites →https://doi.org/10.1016/j.enbuild.2020.110476openalex-snapshot
Bayesian method for HVAC plant sensor fault detection and diagnosis
inferredcites →https://doi.org/10.1016/j.enbuild.2020.110492openalex-snapshot
Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review
inferredcites →https://doi.org/10.1016/j.enbuild.2020.110691openalex-snapshot
Automated fault detection of residential air-conditioning systems using thermostat drive cycles
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111044openalex-snapshot
A semi-supervised approach to fault detection and diagnosis for building HVAC systems based on the modified generative adversarial network
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111491openalex-snapshot
Fault detection and diagnosis for variable-air-volume systems using combined residual, qualitative and quantitative techniques
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111516openalex-snapshot
Predicting household air conditioners’ on/off state considering occupants’ preference diversity: A study in Chongqing, China
inferredcites →https://doi.org/10.1016/j.enconman.2003.12.008openalex-snapshot
Detection and diagnosis of AHU sensor faults using principal component analysis method
inferredcites →https://doi.org/10.1016/j.enconman.2004.11.011openalex-snapshot
Sensor fault detection and validation of VAV terminals in air conditioning systems
inferredcites →https://doi.org/10.1016/j.enconman.2005.02.012openalex-snapshot
Transient pattern analysis for fault detection and diagnosis of HVAC systems
inferredcites →https://doi.org/10.1016/j.enconman.2005.11.010openalex-snapshot
Data mining based sensor fault diagnosis and validation for building air conditioning system
inferredcites →https://doi.org/10.1016/j.enconman.2006.09.007openalex-snapshot
Tolerant control for multiple faults of sensors in VAV systems
inferredcites →https://doi.org/10.1016/j.enconman.2008.01.029openalex-snapshot
Sequential rule based algorithms for temperature sensor fault detection in air handling units
inferredcites →https://doi.org/10.1016/j.enconman.2008.06.032openalex-snapshot
Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2019.07.003openalex-snapshot
Autonomic machine learning platform
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Decoupling features and virtual sensors for diagnosis of faults in vapor compression air conditioners
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The impact of fouling on the performance of filter–evaporator combinations
inferredcites →https://doi.org/10.1016/j.ijrefrig.2006.12.012openalex-snapshot
Model-based Fault Detection and Diagnosis of HVAC systems using Support Vector Machine method
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Improved methodologies for simulating unitary air conditioners at off-design conditions
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Important sensors for chiller fault detection and diagnosis (FDD) from the perspective of feature selection and machine learning
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Modeling of gas leakage through compressor valves
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Fault and sensor error diagnostic strategies for a vapor compression refrigeration system by using fuzzy inference systems and artificial neural network
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Sensitivity analysis for PCA-based chiller sensor fault detection
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A figure of merit for overall performance and value of AFDD tools
inferredcites →https://doi.org/10.1016/j.ijrefrig.2017.11.003openalex-snapshot
Cost-sensitive and sequential feature selection for chiller fault detection and diagnosis
inferredcites →https://doi.org/10.1016/j.ijrefrig.2019.07.020openalex-snapshot
Gradual fault early stage diagnosis for air source heat pump system using deep learning techniques
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Fault diagnosis of VRF air-conditioning system based on improved Gaussian mixture model with PCA approach
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IoT-Cognizant cloud-assisted energy efficient embedded system for indoor intelligent lighting, air quality monitoring, and ventilation
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Automated negotiation in environmental resource management: Review and assessment
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New fault diagnostic strategies for refrigerant charge fault in a VRF system using hybrid machine learning method
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A Decentralized Boltzmann-machine-based fault diagnosis method for sensors of Air Handling Units in HVACs
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Fault detection and diagnosis using tree-based ensemble learning methods and multivariate control charts for centrifugal chillers
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Optimal feature selection for support vector machines
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Research on the PCA-based Intelligent Fault Detection Methodology for Sewage Source Heat Pump System
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Modeling techniques used in building HVAC control systems: A review
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Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future
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Fault detection and diagnosis for chiller based on feature-recognition model and Kernel Discriminant Analysis
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Selection of relevant features and examples in machine learning
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Subsystem level fault diagnosis of a building's air-handling unit using general regression neural networks
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A Statistical, Rule-Based Fault Detection and Diagnostic Method for Vapor Compression Air Conditioners
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Evaluating the Performance of a Fault Detection and Diagnostic System for Vapor Compression Equipment
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Review Article : Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems—A Review, Part I
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A Hierarchical Rule-Based Fault Detection and Diagnostic Method for HVAC Systems
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Sensor Fault Detection and Diagnosis of Air-Handling Units Using a Condition-Based Adaptive Statistical Method
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Detection of Rooftop Cooling Unit Faults Based on Electrical Measurements
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PCA-FDA-Based Fault Diagnosis for Sensors in VAV Systems
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A Novel Strategy for the Fault Detection and Diagnosis of Centrifugal Chiller Systems
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A system-level incipient fault-detection method for HVAC systems
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Simulation of fault impacts for vapor compression systems by inverse modeling. Part II: System modeling and validation
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Simulation of fault impacts for vapor compression systems by inverse modeling. Part I: Component modeling and validation
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Monte Carlo analysis of the effect of uncertainties on model-based HVAC fault detection and diagnostics
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The European Control Conference
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Dimension Reduction by Local Principal Component Analysis
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Fault detection and diagnosis in liquid chillers
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A label-free hybrid fault detection and diagnosis approach for HVAC systems using bayesian networks
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117070openalex-snapshot
A system-level auto-commissioning framework for proactive detection of hard and soft faults in VAV AHU systems
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117233openalex-snapshot
Class-aware temporal and contextual contrastive framework for semi-supervised automated fault detection and diagnosis in air handling units
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117450openalex-snapshot
Fault diagnosis of chiller units based on graph attention neural networks
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117718openalex-snapshot
Benchmarking backbone neural networks for HVAC fault diagnosis and regression: Insights into spatiotemporal, graph, and attention-based architectures
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.117719openalex-snapshot
An open-set air conditioning fault diagnosis model based on transformer combined with multiple classifiers
inferred← citeshttps://doi.org/10.1016/j.enbuild.2026.118301openalex-snapshot
Validation of fault monitoring method for chiller condenser fouling guided by temporal pseudo-labels
inferred← citeshttps://doi.org/10.1016/j.energy.2023.127972openalex-snapshot
Novel transformer-based self-supervised learning methods for improved HVAC fault diagnosis performance with limited labeled data
inferred← citeshttps://doi.org/10.1016/j.energy.2024.131315openalex-snapshot
Multivariate coupled full-case physical model of large chilled water systems and its application
inferred← citeshttps://doi.org/10.1016/j.energy.2025.136832openalex-snapshot
Variable-condition fault diagnosis for building chiller based on deep feature extraction and discrepancy minimization
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109218openalex-snapshot
A new chiller fault diagnosis method under the imbalanced data environment via combining an improved generative adversarial network with an enhanced deep extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112305openalex-snapshot
A severity indicator for unsupervised fault severity shift detection of Heating, Ventilation, and Air Conditioning sub-system faults using a novel adaptive feature weighing method
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.115500openalex-snapshot
A novel interpretable fault diagnosis approach for chillers based on self-adaptive oversampling technique and tree-based multi-meta stacking ensemble method
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130828openalex-snapshot
Chillers fault identification using volunteered minority oversampling via OC-SVM with bounding and minimizing loss
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132818openalex-snapshot
Empirical comparison of sequence-aware augmentation strategies for real operational AHU AFDD under data scarcity and class imbalance
inferred← citeshttps://doi.org/10.1016/j.ijrefrig.2023.09.002openalex-snapshot
The impact of improved PCA method based on anomaly detection on chiller sensor fault detection
inferred← citeshttps://doi.org/10.1016/j.ijrefrig.2024.02.016openalex-snapshot
Refrigerant leak detection in industrial vapor compression refrigeration systems using machine learning
inferred← citeshttps://doi.org/10.1016/j.ijrefrig.2024.05.019openalex-snapshot
Compression-assisted absorption refrigeration cycle employing organic working pairs for ultra-low grade heat recovery
inferred← citeshttps://doi.org/10.1016/j.ijrefrig.2025.02.013openalex-snapshot
Sensor fault detection, diagnosis, and data reconstruction strategy for chiller based on an improved tree-based pipeline optimization tool framework
inferred← citeshttps://doi.org/10.1016/j.ijrefrig.2026.107103openalex-snapshot
Application of temporal GAT based on physical knowledge in sensor fault diagnosis of chiller units
inferred← citeshttps://doi.org/10.1016/j.jobe.2023.106338openalex-snapshot
Imbalanced data based fault diagnosis of the chiller via integrating a new resampling technique with an improved ensemble extreme learning machine
inferred← citeshttps://doi.org/10.1016/j.jobe.2023.107127openalex-snapshot
A data-driven approach for fault diagnosis in multi-zone HVAC systems: Deep neural bilinear Koopman parity
inferred← citeshttps://doi.org/10.1016/j.jobe.2023.108098openalex-snapshot
Handling fault detection and diagnosis in incomplete sensor measurements for BAS based HVAC system
inferred← citeshttps://doi.org/10.1016/j.jobe.2024.108539openalex-snapshot
Seasonal threshold to reduce false positives for prediction-based outlier detection in building energy data
inferred← citeshttps://doi.org/10.1016/j.jobe.2024.109354openalex-snapshot
A review on enhancing energy efficiency and adaptability through system integration for smart buildings
inferred← citeshttps://doi.org/10.1016/j.jobe.2025.111924openalex-snapshot
Enhancing and optimization in exisiting HVAC equipment using tools of industry 4.0
inferred← citeshttps://doi.org/10.1016/j.jobe.2025.112048openalex-snapshot
Model interpretation and interpretability performance evaluation of graph convolutional network fault diagnosis for Air Handling Units
inferred← citeshttps://doi.org/10.1016/j.jobe.2025.112646openalex-snapshot
Augmentation framework for HVAC fault diagnosis based on denoising diffusion models
inferred← citeshttps://doi.org/10.1016/j.jobe.2026.117008openalex-snapshot
Deep graph embeddings for HVAC-related maintenance planning
inferred← citeshttps://doi.org/10.1016/j.jobe.2026.117259openalex-snapshot
Review on dynamic HVAC modeling for smart buildings: Advancing fault detection and diagnosis, control optimization, and demand-side energy flexibility
inferred← citeshttps://doi.org/10.1016/j.measurement.2025.118622openalex-snapshot
The class labels and spatial information based fault diagnosis of air handling unit via combining kernel Fischer discriminant analysis with an improved graph convolutional neural network
inferred← citeshttps://doi.org/10.1016/j.rser.2024.114853openalex-snapshot
Advance and prospect of machine learning based fault detection and diagnosis in air conditioning systems
inferred← citeshttps://doi.org/10.1016/j.rser.2025.115867openalex-snapshot
Advanced fault detection, diagnosis and prognosis in HVAC systems: Lifecycle insight, key challenges, and promising approaches
inferred← citeshttps://doi.org/10.1016/j.seta.2026.104906openalex-snapshot
Comparative assessment of evaporator and condenser-side PCM integration via validated reduced-order modeling in building-HVAC systems
inferred← citeshttps://doi.org/10.1016/j.solener.2023.111918openalex-snapshot
Feature extraction-reduction and machine learning for fault diagnosis in PV panels
inferred← citeshttps://doi.org/10.1038/s41598-025-24959-9openalex-snapshot
Fault-class coverage–aligned combined training for AFDD of AHUs across multiple buildings
inferred← citeshttps://doi.org/10.1061/jleed9.eyeng-6039openalex-snapshot
A Data-Driven Stochastic Optimization Model for Energy Conservation of Industrial Air Conditioning Systems
inferred← citeshttps://doi.org/10.1080/19401493.2023.2247382openalex-snapshot
An ensemble-based faults detection and diagnosis approach for determining faults severities at whole-building level
inferred← citeshttps://doi.org/10.1080/23744731.2024.2378674openalex-snapshot
Bridging the gap between theory and adoption: A critical review of socio-technical and human-computer interaction studies of fault detection and diagnosis in commercial buildings
inferred← citeshttps://doi.org/10.1080/23744731.2024.2411160openalex-snapshot
Development of an FDD model for an existing building using transfer learning
inferred← citeshttps://doi.org/10.1080/23744731.2024.2411161openalex-snapshot
Unsupervised identification of zone-level anomalies in VAV terminal units utilizing autoencoders and PCA
inferred← citeshttps://doi.org/10.1109/access.2022.3211258openalex-snapshot
A Hybrid Model-Based Approach on Prognostics for Railway HVAC
inferred← citeshttps://doi.org/10.1109/ccdc65474.2025.11090278openalex-snapshot
Fault Diagnosis of Air Handling Unit Based on Fisher Discriminant Analysis and an Improved Graph Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/etfa61755.2024.10710735openalex-snapshot
Energy Efficiency Optimization and Preventive Maintenance of HVAC Systems Using Machine Learning
inferred← citeshttps://doi.org/10.1109/icce67443.2026.11449603openalex-snapshot
IoT-Enabled Self-Powered Fault Diagnosis for Split-Unit Air Conditioners in Smart Homes
inferred← citeshttps://doi.org/10.1109/tte.2023.3345895openalex-snapshot
A Critical Review and Future Prospects of Control-Oriented HVAC Modeling Strategies in Electric Vehicles
inferred← citeshttps://doi.org/10.1109/usbereit65494.2025.11054153openalex-snapshot
Predicting Failures in Heating, Ventilation and Air Conditioning (HVAC) Systems in Data Centers: Problem Statement
inferred← citeshttps://doi.org/10.1145/3600100.3626640openalex-snapshot
Zone-Level Anomaly Detection in VAV Terminal Units Using an Unsupervised Learning Approach
inferred← citeshttps://doi.org/10.1177/01423312241273767openalex-snapshot
Active fault-tolerant control based on DDQN architecture applied to HVAC system
inferred← citeshttps://doi.org/10.1177/10775463261471075openalex-snapshot
Dual-network for degradation and fault detection in high-speed train electrical drive systems
inferred← citeshttps://doi.org/10.20944/preprints202303.0391.v1openalex-snapshot
Feature Selection in the Context of Prognostic Health Management
inferred← citeshttps://doi.org/10.2139/ssrn.5394435openalex-snapshot
Application of a Multi-Task Generative Adversarial Network with Dynamic Sample Generation Mechanism in Fault Diagnosis of Vrf Systems
inferred← citeshttps://doi.org/10.2139/ssrn.5704272openalex-snapshot
A Fully Unsupervised Framework for Automatic Labeling and Fault Detection in Chillers under Steady and Dynamic Conditions
inferred← citeshttps://doi.org/10.3389/fenrg.2023.1078603openalex-snapshot
Holistic management of a smart city thermal energy plant with sewage heat pumps, solar heating, and grey water recycling
inferred← citeshttps://doi.org/10.3390/app122010617openalex-snapshot
Data Science Application for Failure Data Management and Failure Prediction in the Oil and Gas Industry: A Case Study
inferred← citeshttps://doi.org/10.3390/app16041887openalex-snapshot
Early Anomaly Detection in Maritime Refrigerated Containers Using a Hybrid Digital Twin and Deep Learning Framework
inferred← citeshttps://doi.org/10.3390/buildings14061835openalex-snapshot
Fault Diagnosis of Centrifugal Chiller Based on Extreme Gradient Boosting
inferred← citeshttps://doi.org/10.3390/en16093875openalex-snapshot
Using Artificial Neural Networks to Gather Intelligence on a Fully Operational Heat Pump System in an Existing Building Cluster
inferred← citeshttps://doi.org/10.3390/en16124721openalex-snapshot
Air Conditioning Systems Fault Detection and Diagnosis-Based Sensing and Data-Driven Approaches
inferred← citeshttps://doi.org/10.3390/inventions8060140openalex-snapshot
Extruder Machine Gear Fault Detection Using Autoencoder LSTM via Sensor Fusion Approach
inferred← citeshttps://doi.org/10.3390/pr11113133openalex-snapshot
Application of Data-Driven Methods for Heating Ventilation and Air Conditioning Systems
inferred← citeshttps://doi.org/10.3390/pr13113618openalex-snapshot
Data-Driven Detection and Prediction of Refrigeration Equipment Failures Using Rough Sets Theory and the Internet of Things
inferred← citeshttps://doi.org/10.3390/s23146521openalex-snapshot
Single-Wire Control and Fault Detection for Automotive Exterior Lighting Systems
inferred← citeshttps://doi.org/10.4018/979-8-3693-7272-2.ch005openalex-snapshot
The Synergy of Sustainability, Intelligent Methods, and Smart Grid Applications
inferred← citeshttps://doi.org/10.7759/s44389-025-06375-2openalex-snapshot
An Insight Into Smart Infrastructure With Artificial Intelligence-Driven Predictive Maintenance: Transforming the Future of Urban Systems
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.