文献详情
Fault Diagnosis for the Heat Exchanger of the Aircraft Environmental Control System Based on the Strong Tracking Filter
文献类型期刊
作者Ma, Jian[1];Lu, Chen[2];Liu, Hongmei[3]
机构
通讯作者Lu, C (reprint author), Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China.
来源信息年:2015  卷:10  期:3  页码范围:e0122829  
期刊信息PLOS ONE影响因子和分区  ISSN:1932-6203
增刊正刊
摘要The aircraft environmental control system (ECS) is a critical aircraft system, which provides the appropriate environmental conditions to ensure the safe transport of air passengers and equipment. The functionality and reliability of ECS have received increasing attention in recent years. The heat exchanger is a particularly significant component of the ECS, because its failure decreases the system's efficiency, which can lead to catastrophic consequences. Fault diagnosis of the heat exchanger is necessary to prevent risks. However, two problems hinder the implementation of the heat exchanger fault diagnosis in practice. First, the actual measured parameter of the heat exchanger cannot effectively reflect the fault occurrence, whereas the heat exchanger faults are usually depicted by utilizing the corresponding fault-related state parameters that cannot be measured directly. Second, both the traditional Extended Kalman Filter (EKF) and the EKF-based Double Model Filter have certain disadvantages, such as sensitivity to modeling errors and difficulties in selection of initialization values. To solve the aforementioned problems, this paper presents a fault-related parameter adaptive estimation method based on strong tracking filter (STF) and Modified Bayes classification algorithm for fault detection and failure mode classification of the heat exchanger, respectively. Heat exchanger fault simulation is conducted to generate fault data, through which the proposed methods are validated. The results demonstrate that the proposed methods are capable of providing accurate, stable, and rapid fault diagnosis of the heat exchanger.
收录情况SCIE(WOS:000352134700201)  PubMed(25823010)  
所属部门可靠性与系统工程学院
DOI10.1371/journal.pone.0122829
学科综合性期刊
百度学术Fault Diagnosis for the Heat Exchanger of the Aircraft Environmental Control System Based on the Strong Tracking Filter
语言外文
人气指数34
浏览次数34
基金National Natural Science Foundation of China [61074083, 50705005, 51105019]; Technology Foundation Program of National Defense [Z132010B004]; Innovation Foundation of BUAA for PhD Graduates
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