Fault Detection and Diagnosis Encyclopedia for Building Systems: A Systematic Review

Energies

Anna Marszal-Pomianowska¹  Per K. Heiselberg¹  Simon P. Melgaard¹  Rasmus L. Jensen¹  Kamilla H. Andersen¹ 

[1] Department of the Built Environment, Aalborg University, Thomas Manns Vej 23, 9220 Aalborg Ø, Denmark;

关键词: fault detection and diagnosis (FDD);    systematic review;    building systems;    heating, ventilation, and air conditioning (HVAC);    model-based methods;    data-based methods;   

DOI  :  10.3390/en15124366

来源: DOAJ

【 摘 要 】

This review aims to provide an up-to-date, comprehensive, and systematic summary of fault detection and diagnosis (FDD) in building systems. The latter was performed through a defined systematic methodology with the final selection of 221 studies. This review provides insights into four topics: (1) glossary framework of the FDD processes; (2) a classification scheme using energy system terminologies as the starting point; (3) the data, code, and performance evaluation metrics used in the reviewed literature; and (4) future research outlooks. FDD is a known and well-developed field in the aerospace, energy, and automotive sector. Nevertheless, this study found that FDD for building systems is still at an early stage worldwide. This was evident through the ongoing development of algorithms for detecting and diagnosing faults in building systems and the inconsistent use of the terminologies and definitions. In addition, there was an apparent lack of data statements in the reviewed articles, which compromised the reproducibility, and thus the practical development in this field. Furthermore, as data drove the research activity, the found dataset repositories and open code are also presented in this review. Finally, all data and documentation presented in this review are open and available in a GitHub repository.

【 授权许可】

Unknown