Reference health
Detection and diagnosis for multiple faults in VAV systems
1 of 10 checkable references need attention · checked 2026-07-22
At the dated check, the references listed below either did not resolve in Crossref or DataCite, or carried a retraction notice. Each one is shown with the registry record that put it there.
18 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.
References needing attention
does not resolve to a known work10.2307/1267757
The 9 checked references that resolve
resolves10.1016/S0378-7788(01)00068-8
Analysis of an information monitoring and diagnostic system to improve building operations
resolves10.1080/10789669.2001.10391431
Fault Diagnosis in Air-Conditioning Systems: A Multi-Step Fuzzy Model-Based Approach
resolves10.1016/S0360-1323(01)00076-2
Fault-tolerant control for outdoor ventilation air flow rate in buildings based on neural network
resolves10.1016/j.enbuild.2003.10.002
AHU sensor fault diagnosis using principal component analysis method
resolves10.1016/S0967-0661(98)00027-6
Joint diagnosis of process and sensor faults using principal component analysis
resolves10.1016/S0959-1524(00)00008-1
Fault diagnosis with multivariate statistical models part I: using steady state fault signatures
The 18 references without a DOI — listed, not checked
no DOI — not checkedA quasi-real-time expert system for commercial building HVAC diagnostics
no DOI — not checked10.1016/j.enbuild.2006.09.015_bib3
no DOI — not checkedA.L. Dexter, J. Pakanen, Demonstrating Automated Fault Detection and Diagnosis Methods in Real Buildings, VTT Building Technology, Finland (ISBN 951-38-5726-3), ANNEX 34 Final Report, IEA, 2001.
no DOI — not checkedM.C. Comstock, J.E. Braun, Development of Analysis Tools for the Evaluation of Fault Detection and Diagnostics in Chillers, Report #HL99-20, Purdue University, Ray W. Herrick Laboratories, West Lafayette, IN, 1999.
no DOI — not checkedApplication of black-box models to HVAC systems for fault detection
no DOI — not checkedA Statistical, rule-based fault detection and diagnostic method for vapor compression air conditioners
no DOI — not checkedTypical faults of air-conditioning systems and fault detection by ARX model and extended Kalman filter
no DOI — not checkedFault detection in an air-handling unit using residual and recursive parameter identification methods
no DOI — not checkedA robust model-based approach to diagnosing faults in air-handling units
no DOI — not checkedAn expert rules set for fault detection in air handling units/discussion
no DOI — not checkedPerformance monitoring, fault detection, and diagnosis of reciprocating chillers [J]
no DOI — not checkedCondition monitoring in HVAC subsystem using first principles models
no DOI — not checkedSecond generation expert systems: requirements, architectures and prospects [C]
no DOI — not checkedUse of artificial neural networks to monitor faults and for troubleshooting in the process industries [C]
no DOI — not checkedFault diagnosis and temperature sensor recovery for an air-handling unit [J]
no DOI — not checked10.1016/j.enbuild.2006.09.015_bib24
no DOI — not checked10.1016/j.enbuild.2006.09.015_bib25
no DOI — not checked10.1016/j.enbuild.2006.09.015_bib28
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or importance of the work itself, and nothing about references deposited without a DOI.
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