A comprehensive review: Fault detection, diagnostics, prognostics, and fault modeling in HVAC systems. (December 2022)

• Record Type: Journal Article
• Authors: Singh, Vijay; Mathur, Jyotirmay; Bhatia, Aviruch
• Is Part Of: International journal of refrigeration. Volume 144(2022)
• Page Start: 283
• Page End: 295
• Publication Date: 2022-12
• Subjects: Fault detection and diagnostics -- Prognostics -- Machine learning -- Fault modeling techniques -- HVAC; Détection et diagnostic des défaillances -- Pronostics -- Apprentissage automatique -- Technique de modélisation des défaillances -- CVC; Refrigeration and refrigerating machinery -- Periodicals; 621.56
• DOI: 10.1016/j.ijrefrig.2022.08.017
• Languages: English
• ISSNs: 0140-7007

Abstract

Highlights: FDD methods and process discussed in detail. IoT and cloud technology for FDD is discussed. Presents the detailed discussion on fault modeling. Challenges and future prospects of FDD systems are discussed. Abstract: This review study examines the latest research and developments in the fault detection and diagnostics of Heating Ventilation and Air Conditioning (HVAC) systems. This review describes the basics of Fault detection and diagnostics in the HVAC systems, and the methods developed for the FDD have been discussed in detail. Machine learning methods have become prevalent in the FDD. Supervised and unsupervised machine learning methods have been discussed. Data preprocessing and feature selection are the two essential steps of the FDD process using machine learning. Fault prognosis has also been discussed in brief. Further, fault modeling and its applications in the FDD have been covered. Various approaches have been used to model the different faults in HVAC systems. This paper reviews FDD systems based on four aspects, i.e., detection, diagnostics, prognostics, and modeling of faults. Then this review provides a comparative study of different FDD methods. Finally, the paper discusses future challenges for the more efficient FDD systems to reduce the energy consumption of the HVAC systems.