Reference health

Fault detection and diagnosis in air handling using data-driven methods

https://doi.org/10.1016/j.jobe.2020.101388
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15/15 checkable references clean · checked 2026-07-22

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 15 checked references that resolve
resolves10.1016/0005-1098(88)90073-8
Detecting changes in signals and systems—A survey
resolves10.1016/j.enbuild.2019.06.051
Fault detection in commercial building VAV AHU: A case study of an academic building
resolves10.1016/j.enbuild.2013.08.044
A model-based fault detection and diagnostic methodology based on PCA method and wavelet transform
resolves10.1016/j.applthermaleng.2005.10.039
Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method
resolves10.1016/j.enbuild.2018.10.013
An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising
resolves10.1016/j.enbuild.2014.10.069
Robust model-based fault diagnosis for air handling units
resolves10.1016/j.enbuild.2015.04.035
A combined passive-active sensor fault detection and isolation approach for air handling units
resolves10.1016/j.enbuild.2016.06.013
A robust fault detection and diagnosis strategy for multiple faults of VAV air handling units
resolves10.1016/j.enbuild.2003.10.002
AHU sensor fault diagnosis using principal component analysis method
resolves10.1016/j.energy.2004.10.004
Dynamic model of an HVAC system for control analysis
resolves10.1016/j.enbuild.2016.12.018
A tool for evaluating fault detection and diagnostic methods for fan coil units
resolves10.1109/TASE.2019.2950854
An Integrated Solution to Minimize the Energy Consumption of a Resource-Constrained Machining System
resolves10.1016/j.applthermaleng.2015.07.001
Diagnostic Bayesian networks for diagnosing air handling units faults – Part II: Faults in coils and sensors
resolves10.1016/j.energy.2010.06.001
Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers
resolves10.1016/j.enbuild.2016.09.039
A decision tree based data-driven diagnostic strategy for air handling units
The 13 references without a DOI — listed, not checked
no DOI — not checked“Design issues for fault tolerant-restructurable aircraft control,” in 1985
no DOI — not checkedA computationally efficient method for fault diagnosis of fan-coil unit terminals in building Heating Ventilation and Air Conditioning systems
no DOI — not checkedSensor data validation and fault diagnosis using Auto-Associative Neural Network for HVAC systems
no DOI — not checked10.1016/j.jobe.2020.101388_bib8
no DOI — not checkedSupport vector machine based fault detection and diagnosis for HVAC systems
no DOI — not checkedPurdue e-pubs kalman filter-based FDD for an air handling unit (AHU) kalman filter-based fault detection and diagnosis for air handling units
no DOI — not checkedAir handling unit design for high performance buildings
no DOI — not checkedA review of fault detection and diagnosis methodologies on air-handling units
no DOI — not checkedDevelopment and validation of a dynamic air handling unit model, Part 2
no DOI — not checkedResearch on combination kernel function of support vector machine
no DOI — not checked10.1016/j.jobe.2020.101388_bib25
no DOI — not checkedfault detection and diagnosis with modelica language using deep belief network
no DOI — not checkedFault detection and classification using artificial neural networks
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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