Impact Factor:7.201

DOI Number:10.1016/j.enbuild.2021.110875

Affiliation of Author(s):Nanjing University of Information Science and Technology

Journal:Energy and Buildings

Funded by:National Natural Science Foundation of China under Grant 52077105, 51607095 and 61873174

Key Words:Air handling unit, remaining useful life, fault prognosis, statistical process control, HSMM

Abstract:Air handling units are key sub-systems of heating, ventilation and air conditioning systems, which are used to condition air to satisfy human comfort requirements.  Fault prognosis allows maintenance crews to identify the Remaining Useful Life (RUL) of a system, thus unexpected breakdowns are avoided, leading to a decrease in maintenance costs.  To estimate RULs, a Hidden Semi-Markov Model (HSMM)-based method is proposed.  To estimate states of HSMMs accurately, a revised scaled method is developed to guarantee that state estimates do not approximate to infinity.  Additionally, a new discrete

All the Authors:Cai Jun,Tao Li,Wan Zhang,Liangliang Sun

First Author:Ying Yan

Indexed by:Journal paper

Discipline:Engineering

First-Level Discipline:Control Science and Engineering

Document Type:J

Volume:240

Issue:4

ISSN No.:0378-7788

Translation or Not:no

Date of Publication:2021-04-07

Included Journals:SCI

Publication links:https://doi.org/10.1016/j.enbuild.2021.110875

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