HVAC Equipment, Unitary: Fault Detection and Diagnosis

Yang, Huojun; Zhao, Tian; Woradechjumroen, Denchai; Liu, Xiaoyu

doi:10.1081/e-eee2-120051345

Cited by 13 publications

(11 citation statements)

References 9 publications

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“…When we began to review the FDD-related literature, we found that there is no universally accepted classification for FDD approaches. Based on several existing articles [ 7 , 9 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], various classification strategies have been proposed, such as the following: qualitative-based, quantitative-based, and process-history-based models [ 17 ]; data-driven and knowledge-driven approaches [ 13 ]; model-based and data-based methods [ 16 ]; black-box, gray-box, and prior knowledge-based models [ 15 ]. …”

Section: Results Part I: Review and New Classification Of Fdd Approac...mentioning

confidence: 99%

“…On the other hand, these models often require large amounts of historical data and a wide range of sensor inputs that are not readily available in all buildings. In this regard, the costs associated with the quality and variety of sensors utilized to measure the data, as well as the time required to obtain a sufficient amount of historical data–both of which are essential to building a data-driven model—can be overwhelming [ 15 ].…”

Section: Results Part I: Review and New Classification Of Fdd Approac...mentioning

confidence: 99%

“…There has been a great deal of interest in reviewing the field of HVAC FDD methods. Recent reviews present trends in the use of FDD methods, explain the methodology of each commonly used algorithm, and develop new ways to categorize FDD methods and techniques [ 1 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ]. Li et al [ 6 ] specifically reviewed FDD methods with a focus on feature engineering in FDD.…”

Section: Introductionmentioning

confidence: 99%

“…Some existing reviews [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 22 , 23 ] specifically aim to categorize and compare different FDD methods in HVAC systems. Among them, the study by Katipamula and Brambley [ 17 ] should be highlighted, which had a significant impact on the development of other scientific publications.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

Matetić

Štajduhar

Wolf

et al. 2022

Sensors

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Heating, ventilation, and air conditioning (HVAC) systems are a popular research topic because buildings’ energy is mostly used for heating and/or cooling. These systems heavily rely on sensory measurements and typically make an integral part of the smart building concept. As such, they require the implementation of fault detection and diagnosis (FDD) methodologies, which should assist users in maintaining comfort while consuming minimal energy. Despite the fact that FDD approaches are a well-researched subject, not just for improving the operation of HVAC systems but also for a wider range of systems in industrial processes, there is a lack of application in commercial buildings due to their complexity and low transferability. The aim of this review paper is to present and systematize cutting-edge FDD methodologies, encompassing approaches and special techniques that can be applied in HVAC systems, as well as to provide best-practice heuristics for researchers and solution developers in this domain. While the literature analysis targets the FDD perspective, the main focus is put on the data-driven approach, which covers commonly used models and data pre-processing techniques in the field. Data-driven techniques and FDD solutions based on them, which are most commonly used in recent HVAC research, form the backbone of our study, while alternative FDD approaches are also presented and classified to properly contextualize and round out the review.

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Section: Results Part I: Review and New Classification Of Fdd Approac...mentioning

confidence: 99%

Section: Results Part I: Review and New Classification Of Fdd Approac...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Review of Data-Driven Approaches and Techniques for Fault Detection and Diagnosis in HVAC Systems

Matetić

Štajduhar

Wolf

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Detecting and diagnosing faults continuously, as in ongoing commissioning [38], can use a model of a building's operating conditions with constant updates from measurement data. FDD methods fall into three categories [39,40], which compare the expected and observed operation:…”

Section: Automated Fault Detection and Diagnosismentioning

confidence: 99%