Fault detection involving unfavorable interaction effects to enhance the fault diagnostics of refrigeration systems in commercial supermarkets

Woradechjumroen, Denchai; Leephakpreeda, Thananchai

doi:10.1007/s40430-021-02980-z

Cited by 1 publication

(2 citation statements)

References 17 publications

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“…If-then rules are the best and most commonly used representation for implementing this approach. Table 2 lists examples from selected literature that address the knowledge discovery approach, all of which utilize if-then rules [ 32 , 33 , 34 , 35 , 36 , 37 ].…”

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

confidence: 99%

“…This formalized control logic has the advantage of avoiding human interpretations and generalizing errors, making this method applicable to any system. The main objective of the research conducted by Woradechjumroen and Leephakpreeda [ 37 ] was to improve FDD analysis by implementing two steps: (1) reducing the outliers caused by the effects of adverse interaction between HVAC and RCU operation, and (2) isolating the effects of adverse interaction from the overall operation of refrigeration systems. The proposed method improves the data reliability and robustness of FDD.…”

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

confidence: 99%

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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%

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

Fault detection involving unfavorable interaction effects to enhance the fault diagnostics of refrigeration systems in commercial supermarkets

Cited by 1 publication

References 17 publications

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

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

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